Abstract: A remote storage digital video recorder (RS-DVR) system is disclosed. The RS-DVR system includes a network interface to communicate data between the RS-DVR system and a subscriber system via a network, a file system module coupled to the network interface, an ingest agent coupled to the file system module to receive encoded media segments that represent media content files encoded at a plurality of different bitrates; and a storage architecture coupled to the file system to store the encoded media segments, resulting in stored media segments. The RS-DVR carries out a number of functions and operations to service multiple subscribers and associated subscriber systems, such as various storage device management operations, file structure techniques, assignment of recorded media to subscribers, file system indexing, and supporting shared and per-subscriber content rights.

Abstract: Methods of computing answer results to user-submitted queries, using a plug-in executor, a user database, a plug-in database, content recognizers, answer generators and a controller. Controller submits content recognizer specifications and sets of answer generator specifications to the plug-in executor, combines content recognition results, combines answer generator answer results, determines the subset of answer generators to execute using an answer generator set determinator, looks up the specifications for each answer generator in the subset of answer generators, and responds to the client program with a list of answer results.

Abstract: A method for storing time series data in a key-value database includes receiving time series data relating to the occurrence of an event. An addressing scheme that defines attributes for inclusion in keys for the event is analyzed. The attributes include time granularity attributes of different sizes. The method generates a key corresponding to the time series data based on the analyzing of the addressing scheme including attributes specified in the addressing scheme that are related to the event and one of the attributes represents one of the plurality of time granularity attributes. The method further issues a command to the key-value database to store a record of the occurrence of the event as a value in the key-value database where stored values in the key-value database corresponding keys may be used to satisfy queries relating to the event over a range of time.

Abstract: A robust classification method for cancer detection from mass spectrometry data includes inputting the mass spectrometry data, preprocessing the spectrometry data, conducting robust feature selection, generating predictions for the test data sets using multiple data classifiers, the multiple data classifiers including artificial neural networks, support vector machines, weighted voting on data patterns, classification and regression trees, k-nearest neighbor classification, and logistic regression, and constructing and validating a meta-classifier by combining individual predictions of the multiple data classifiers to generate a robust prediction of a phenotype. The test data sets are used exclusively for validation of the meta-classifier.

Abstract: An approach is provided for multi-item searching. A searching platform receives an input at a device for specifying one or more search criteria. The searching platform then causes, at least in part, a search for one or more services based, at least in part, on the one or more search criteria, and a presentation of a user interface including an animation based, at least in part, on the search, one or more results of the search, the one or more services, or a combination thereof.

Abstract: A method provides an index that is indicative of the state of a subject, as to a biological condition, based on a sample from the subject. An embodiment of this method includes: deriving from the sample a profile data set, the profile data set including a plurality of members, each member being a quantitative measure of the amount of a distinct RNA or protein constituent in a panel of constituents selected so that measurement of the constituents enables evaluation of the biological condition; and in deriving the profile data set, achieving such measure for each constituent under measurement conditions that are substantially repeatable; and applying values from the profile data set to an index function that provides a mapping from an instance of a profile data set into a single-valued measure of biological condition, so as to produce an index pertinent to the biological condition of the subject.

Abstract: Methods and systems for evaluating biological dataset profiles relating to toxic agents including candidate pharmaceuticals, environmental agents, biowarfare and chemical warfare agents are provided, where datasets comprising information for multiple cellular parameters are compared and identified, and used in the evaluation of candidate agents.

Abstract: A method for prognosing a rheumatoid arthritis phenotype using the outcomes of selected single nucleotide polymorphisms (SNPs) and clinical variables. A method for genotyping multiple rheumatoid arthritis associated genetic variations comprising use of a DNA microrarray. A microarray for use in the described methods.

Abstract: A kit and test panel utilizing a multivariate diagnostic method based on optimizing diagnostic likelihood ratios through the effective use of multiple diagnostic tests is disclosed. The Neyman-Pearson Lemma provides a mathematical basis to produce optimal diagnostic results.

Abstract: A system and method to facilitate matching of content to advertising information in a network are described. A request for advertising information is received over a network, the advertising information to be displayed for a user entity in association with content information within a web page requested by the user entity. Advertising information related to one or more themes of the content information on the web page is further determined, the themes representing subject matter contextually related to the content information. Advertisements are further selected from the advertising information based on keywords and metadata stored within the web page and based on a set of predetermined parameters stored within the data storage module. The selected advertisements are further ranked to obtain a ranked list of advertisements.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ranking search results. One of the methods includes determining, for each of a plurality of groups of resources, a respective count of independent incoming links to resources in the group; determining, for each of the plurality of groups of resources, a respective count of reference queries; determining, for each of the plurality of groups of resources, a respective group-specific modification factor, wherein the group-specific modification factor for each group is based on the count of independent links and the count of reference queries for the group; and associating, with each of the plurality of groups of resources, the respective group-specific modification factor for the group, wherein the respective group-specific modification for the group modifies initial scores generated for resources in the group in response to received search queries.

Abstract: The present invention generally relates to a system, report, and method for automatically generating a series of natural language news-based stories to be presented via a digital interface or printed publication to a portfolio user. The disclosure relates to a filter or selection of a handful of relevant and desired financial instruments, or events created in a large group of events such as sports results, travel information, auction related data, online shopping tools, social media, retail store promotion generation, search engine daily report, etc. for a specific use. These financial instruments, based on different selections from a portfolio manager via a management tool, are then used to either produce a strategies page where a list of useful covered call trade and hedged trade are displayed in the form of a table, or natural language news-based stories relating to a selected list of financial instruments found in a portfolio.

Abstract: Generally, a computer implemented remote monitoring system which generates a viewable reduced byte data representation for each one of a plurality of analyzed instrument signals. Specifically, a flow cytometer remote monitoring system which generates a viewable reduced byte data representation for each one of a plurality analyzed flow cytometer signals.

Abstract: A system and method to facilitate classification and storage of events in a network are described. An event and associated content information are received from an entity over a network. The content information is further analyzed to determine one or more themes representing subject matter related to the content information. The event is further classified according to the themes into one or more corresponding categories. Finally, the event is stored into one or more corresponding databases of a data storage module according to the one or more corresponding categories.

Abstract: The present invention relates to genetic analysis and evaluation utilizing copy-number variants or polymorphisms. The methods utilize array comparative genomic hybridization and PCR assays to identify the significance of copy number variations in a subject or subject group.

Abstract: An electronic device including a NAND flash memory, an auxiliary memory, and a controller is provided. A code for detecting a read command sequence of the NAND flash memory is stored in the auxiliary memory. During a boot procedure of the electronic device, the controller reads the code from the auxiliary memory and executes the code to obtain the read command sequence of the NAND flash memory, so as to access content stored in the NAND flash memory according to the read command sequence.

Abstract: The present invention relates to a scoring system for the prediction of cancer recurrence by selecting genes and/or proteins whose expression patterns associated with recurrence of cancer, and generating formulae with the selected genes and/or proteins for the prediction of cancer recurrence. The present invention relates to a kit for determining the likelihood of recurrence of cancer, comprising DNA chip, oligonucleotide chip, protein chip, peptides, antibodies, probes and primers that are necessary for effecting DNA microarrays, oligonucleotide microarrays, protein arrays, northern blotting, in situ hybridization, RNase protection assays, western blotting, ELISA assays, reverse transcription polymerase-chain reaction to examine the expression of at least 2, 4, 6, 10, 12 or more genes and/or proteins, that are indicative of cancer recurrence.

Abstract: Methods, systems, and computer-readable storage media for evaluating a validity of an extended status and action management (SAM) schema. In some implementations, actions include receiving the extended SAM schema, the extended SAM schema being stored as a computer-readable document in memory and being an extension of a core SAM schema, providing one or more goals, each goal representing an intention of the core SAM schema, the one or more goals being provided in a computer-readable document stored in memory and comprising one or more primary goals that each express an intention of a process underlying the core SAM schema, and processing the one or more goals using a computer-executable model checking tool for evaluating the validity of the extended SAM schema.

Abstract: The attached disclosure provides a systems approach based on mathematical modelling of the kinetics of essential biochemical pathways involved in organ homeostasis. When this in silico model is coupled with in-vitro and/or in-vivo measurements to quantify drug-induced perturbations, a powerful platform that allows accurate and mechanistic-level prediction of drug-induced organ injury can be generated. The method described in this disclosure demonstrates that several physiological situations can also be accurately modelled in addition to the effect of perturbations induced by drugs. It can also be used along with high-throughput “omics” data to generate testable hypotheses leading to informed decision-making in drug development.

Abstract: Processing genetic data is disclosed, including: receiving two or more genetic data sets for an individual from one or more genetic data sources; merging the genetic data sets from the one or more genetic data sources, including identifying a duplicate SNP between the genetic data sets and determining one or more data values to be stored for the duplicate SNP; and storing a single set of merged genetic data for the individual.

Abstract: A split data word including a portion of each of two word-aligned data words stored at two word-aligned address boundaries within a memory is read from a displaced-read memory address relative to the word-aligned address boundaries within the memory. The portions of each of the two word-aligned data words within the split data word are compared with corresponding portions of a word-aligned search pattern. A determination is made that a potential complete match for the word-aligned search pattern exists within at least one of the two word-aligned data words based upon an identified match of at least one of the portions of the two word-aligned data words within the split data word with a corresponding at least one portion of the word-aligned search pattern.

Abstract: Methods, computer systems, and computer program products for biopolymer engineering. A variant set for a biopolymer of interest is constructed by identifying, using a plurality of rules, a plurality of positions in the biopolymer of interest and, for each respective position in the plurality of positions, substitutions for the respective position. The plurality of positions and the substitutions for each respective position in the plurality of positions collectively define a biopolymer sequence space. A variant set comprising a plurality of variants of the biopolymer of interest is selected. A property of all or a portion of the variants in the variant set is measured. A sequence-activity relationship is modeled between (i) one or more substitutions at one or more positions of the biopolymer of interest represented by the variant set and (ii) the property measured for all or the portion of the variants in the variant set.

Abstract: A system for applying time-based refresh and expiration parameters, including user-defined and/or automatically set values, for accessing cached media content and/or retrieving replacement media content for presentation via a communication device.

Abstract: Methods, systems, and apparatus for accurately determining a proportion (ratio) of two analytes is provided, as well as provide a concentration of a first analyte from a determined concentration of a second analyte and from a proportion of the analytes to each other. In one aspect, a surface model (called a “dose surface” herein) relating the concentrations of the two analytes to the proportion can be used to obtain accurate values for one of the variables (e.g. a concentration or the proportion) when the other two variables have previously been obtained. The dose surface can be a three-dimensional surface and be non-linear. The dose surface model can include multiple regression functions. For example, measured responses can be individually converted to concentrations using two dose-response curves, and the concentrations can be input to a dose surface function to obtain the proportion.

Abstract: Provided are a computer program product, system, and method for identifying modified chunks in a data set for storage. Information is maintained on a data set of variable length chunks, including a digest of each chunk and information to locate the chunk in the data set. Modifications are received to at least one of the chunks in the data set. A determination is made of at least one range of least one of the chunks including data affected by the modifications, wherein each range identifies one chunk or sequential chunks having data affected by the modifications. The at least one chunk in each range is processed to determine at least one new chunk in each range, and for each determined new chunk, a digest of the new chunk. A determination is made as to whether at least one chunk outside of the at least one range has changed. For each determined at least one chunk outside of the at least one range that has changed, a determination is made of at least one new chunk and a new digest of the at least one new chunk.

Abstract: A computer-readable recording medium stores a program causing a computer to execute tabulating a number of character data types for each compression code length specified by an occurrence probability corresponding to an appearance rate of each character data in a file; determining an upper limit_N of compression code length assigned to the character data, among lengths from a minimum to a maximum compression code length and based on the total number of character data types; correcting the number of character data types for the upper limit_N, to the sum of the numbers of character data types for the compression code lengths at least equal to the upper limit_N; and constructing a 2N-branch nodeless Huffman tree with the maximum branch number defined as the upper limit_N and leaves that are compression codes of lengths corresponding to occurrence probabilities of the character data, based on the numbers of character data types post-correction.

Abstract: A method for invalidating metadata associated with a target count-key-data (CKD) volume is disclosed. The method initially receives a command for a target CKD volume. The command is either an “establish” command for establishing a point-in-time copy relationship, or a “withdraw” command for withdrawing a point-in-time copy relationship. The method determines a track range, spanning a number of data tracks in the CKD volume, associated with the command. Each data track in the track range is associated with a metadata track. For each metadata track whose associated data tracks are fully contained in the track range, the method performs a first procedure. For each metadata track whose associated data tracks are not fully contained in the track range, the method performs a second procedure different from the first procedure. A corresponding apparatus and computer program product are also disclosed.

Abstract: Electronic label processor compares bioinformatic values to determine pharmaco-genomic mutation associated with host. Label display indicates pharmaco-genomic mutation, which is network-accessible for modified medical message. Bioinformatic values are determined preferably at different times.

Abstract: Systems, methods and apparatus for an automated analysis of a collection of melt curves is provided. The analysis can identify certain characteristics of double stranded nucleotide sequences (e.g. DNA or other nucleotide sequences) which were melted. For example, a variation (e.g. a mutation) in the sequences (also called amplicons) may be determined from the analysis. The amplicons may be amplified via any amplification mechanism, such as PCR or Ligase chain reaction (LCR). The automated analysis can include identifying a melt region, normalizing a melt curve, and clustering melt curves.

Abstract: In accordance with the teachings described herein, systems and methods are provided for estimating quantiles for data stored in a distributed system. In one embodiment, an instruction is received to estimate a specified quantile for a variate in a set of data stored at a plurality of nodes in the distributed system. A plurality of data bins for the variate are defined that are each associated with a different range of data values in the set of data. Lower and upper quantile bounds for each of the plurality of data bins are determined based on the total number of data values that fall within each of the plurality of data bins. The specified quantile is estimated based on an identified one of the plurality of data bins that includes the specified quantile based on the lower and upper quantile bounds.

Abstract: Apparatus and methods for practicing telemedicine in the form of software systems acting over a network and kits containing laboratory supplies and equipment to organize the laboratory operations and interpret the results of molecular diagnostic testing are disclosed. At least two computers in communication over the Internet or other network are used, a remote computer located at a remote site and a central server located at a central site. The remote site may be geographically distant from the central site. A specimen is procured from a patient proximate to the remote site. Laboratory operations are conducted on the specimen at the remote site. The laboratory data resulting from the laboratory operations is interpreted by an expert reviewer who may be located at the central site, and a report is then transmitted back to the remote site.

Abstract: The systems and methods described herein utilize a probabilistic modeling framework for reverse engineering an ensemble of causal models, from data and then forward simulating the ensemble of models to analyze and predict the behavior of the network. In certain embodiments, the systems and methods described herein include data-driven techniques for developing causal models for biological networks. Causal network models include computational representations of the causal relationships between independent variables such as a compound of interest and dependent variables such as measured DNA alterations, changes in mRNA, protein, and metabolites to phenotypic readouts of efficacy and toxicity.

Abstract: Gamete donor selection includes receiving a specification including a phenotype of interest, receiving a genotype of a recipient and a plurality of genotypes of a respective plurality of donors, determining statistical information pertaining to the phenotype of interest based at least in part on different pairings of the genotype of the recipient and a genotype of a donor in the plurality of donors, and identifying a preferred donor among the plurality of donors, based at least in part on the statistical information determined.

Abstract: An optical metrology includes a library, a metrology tool and a library evolution tool. The library is generated to include a series of predicted measurements. Each predicted measurement is intended to match the measurements that a metrology device would record when analyzing a corresponding physical structure. The metrology tool compares its empirical measurements to the predicted measurements in the library. If a match is found, the metrology tool extracts a description of the corresponding physical structure from the library. The library evolution tool operates to improve the efficiency of the library. To make these improvements, the library evolution tool statistically analyzes the usage pattern of the library. Based on this analysis, the library evolution tool increases the resolution of commonly used portions of the library. The library evolution tool may also optionally reduce the resolution of less used portions of the library.

Abstract: A method is used in deduplicating ranges of data blocks. A collection of data is selected from a set of storage extents. The collection of data is selected based on evaluation of digest information for a subset of the collection of data. A deduplicating technique is applied to the collection of data.

Abstract: A computer program product is provided and includes a tangible storage medium readable by a processing circuit and on which instructions are stored for execution by the processing circuit for initially verifying a presence of parameters passed to a parameter database and that a selected group of the parameters are greater than or equal to zero, parsing optional block data to validate the optional block data, determine a length thereof and a number of optional blocks contained therein and proceeding with one of a secondary info-parsing and a secondary data-parsing operation with respect to the optional block data in accordance with content of the parameters passed to the parameter database.

Abstract: Writing data in a distributed database having a plurality of nodes is disclosed. Writing includes receiving a write request at a node, wherein the write request is associated with one or more operations to define an atomic transaction and performing the atomic transaction based on the request. The atomic transaction includes writing to a first version of the database in the node and writing to an entity representative of a state of the first version of the database.

Abstract: A method for calculating a sample size for a clinical trial of a first treatment can be provided. The method can include reading a survival curve from a clinical trial for a second treatment, wherein the clinical trial may be selected by a user interacting with a user interface. The method can further include selecting a plurality of points on the survival curve and storing coordinates for each of the plurality of points, wherein the plurality of points are selected so as to capture substantial features of the survival curve. Then, a hazard curve is generated based on the coordinates that were stored, wherein the hazard curve may be a step function. The method can further include calculating a sample size for the clinical trial of the first treatment using a Markov model based on the hazard curve.

Abstract: An input signal is converted to a feature-space representation. The feature-space representation is projected onto a discriminant subspace using a linear discriminant analysis transform to enhance the separation of feature clusters. Dynamic programming is used to find global changes to derive optimal cluster boundaries. The cluster boundaries are used to identify the segments of the audio signal.

Abstract: An analytic apparatus and method is provided for diagnosis, prognosis and biomarker discovery using transcriptome data such as mRNA expression levels from microarrays, proteomic data, and metabolomic data. The invention provides for model-based analysis, especially using kernel-based models, and more particularly similarity-based models. Model-derived residuals advantageously provide a unique new tool for insights into disease mechanisms. Localization of models provides for improved model efficacy. The invention is capable of extracting useful information heretofore unavailable by other methods, relating to dynamics in cellular gene regulation, regulatory networks, biological pathways and metabolism.

Abstract: A system and method for performing similarity searching is disclosed. This includes a programmable logic device configured to include a pipeline that comprises a matching stage, the matching stage being configured to receive a data stream comprising a plurality of possible matches between a plurality of data strings and a plurality of substrings of a query string. The pipeline may further include an ungapped extension prefilter stage located downstream from the matching stage, the prefilter stage being configured to shift through pattern matches between the data strings and the plurality of substrings of a query string and provide a score so that only pattern matches that exceed a user defined score will pass downstream from the prefilter stage. The matching stage may include at least one Bloom filter.

Abstract: Summarizing an aggregate contribution to a characteristic for an individual is disclosed, including determining the characteristic to be evaluated, identifying one or more markers associated with the characteristic, retrieving the measurement of the individual for each of the one or more markers from a database of individuals' markers, retrieving a statistical factor that measures the association between the marker associated with the characteristic and the characteristic for each of the one or more markers from the marker database, and determining the aggregate contribution based at least in part on the retrieved statistical factors.

Abstract: A database system that issues a reference transaction by designating a time stamp. Data structures are provided for making an inquiry about the latest value at a designated time using a database in which values and information on times associated with the individual values are contained in a table. One of the data structures includes, for each of IDs associated with the values in the database, at least one time stamp that is sorted in chronological order (hereinafter referred to as a first time stamp); values belonging to the individual first time stamps; and a pointer that designates one of the first time stamps, the first time stamps indicating the times when the values become valid. The other of the data structures includes, for each of the IDs, the designated first time stamp and a value belonging to the designated first time stamp.

Abstract: The present invention generally relates to a system, report, and method for automatically generating a series of natural language news-based stories to be presented via a digital interface or printed publication to a portfolio user. The disclosure relates to a filter or selection of a handful of relevant and desired financial instruments, or events created in a large group of events such as sports results, travel information, auction related data, online shopping tools, social media, retail store promotion generation, search engine daily report, etc. for a specific use. These financial instruments, based on different selections from a portfolio manager via a management tool, are then used to either produce a strategies page where a list of useful covered call trade and hedged trade are displayed in the form of a table, or natural language news-based stories relating to a selected list of financial instruments found in a portfolio.

Abstract: Systems and methods are provided for providing an automated validity check of transaction data postings. In one implementation, a method is provided that includes entering at least one code for specifying at least one posting to be performed for a transactional data processing operation. The method may also include starting the transactional data processing operation, sending a request to a service component for performing a validity check of the at least one code, buffering one or more posting requests resulting from execution of the transactional data processing operation. Further, the method may include sending, in response to receipt of a first signal indicative of code validity from the service component, the one or more buffered posting requests with the at least one code to a posting component.

Abstract: Methods and apparatus for collection, validation, analysis, and automated error correction of data regarding user interaction with content. In one embodiment, statistical methods are used to arrive at expected values for the collected data. The data is compared to the expected value and must meet one or more acceptance criteria (e.g., be within a prescribed range) to be considered valid. The prescribed range is determined by the network operator, or a computer program adapted to generate this value. The invention enables a network operator to assess a large volume of data without requiring significant amounts of manual monitoring and/or error correction. The ability to collect, validate and analyze data across multiple platforms is also provided. Still further, an automated system capable of learning evaluation and error correction patterns is disclosed.

Abstract: Methods for clustering a data set from a biological assay are provided. Aspects of the methods include applying statistical analyses to bisected subsets of the data at selected cut-of values to identify one or more break points in the data set. In certain aspects, the statistical analyses employed are based on determining the p-values of two-tailed t-tests calculated using the bisected data at each cut-off value. Aspects of the invention further include computer programming and systems which are configured to cluster data sets from biological assays according to the subject methods.

Abstract: According to embodiments, techniques for extracting a signal parameter from a selected region of a generally repetitive signal are disclosed. A pulse oximetry system including a sensor or probe may be used to obtain an original photoplethysmograph (PPG) signal from a subject. A filter transformation may be applied to the original PPG signal to produce a baseline PPG signal. The baseline PPG signal may contain artifacts and/or noise, and a region of the baseline PPG signal suitable for extracting the signal parameter may be selected. A suitable region of the baseline PPG signal may be selected by applying one or more thresholds to the baseline PPG signal, where the values of the thresholds may be set based on derivative values, amplitude-based percentiles, and/or local minima and maxima of the baseline PPG signal. A portion of the original PPG signal corresponding to the selected region may be processed, and the signal parameter may be extracted from the processed region.

Abstract: A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data. The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and/or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Abstract: Provided in certain embodiments are methods for pairing patient cells and donor cells to prepare cytotoxic T cells. Such cytotoxic T cells could be administered to the patient for treating certain disorders, such as a cancer (for example, brain cancer).