Abstract: The present invention relates to a method and system for detecting biologically relevant structures in a hierarchical fashion, beginning at a low-resolution and proceeding to higher levels of resolution. The present invention also provides probabilistic pairwise Markov models (PPMMs) to classify these relevant structures. The invention is directed to a novel classification approach which weighs the importance of these structures. The present invention also provides a fast, efficient computer-aided detection/diagnosis (CAD) system capable of rapidly processing medical images (i.e. high throughput). The computer-aided detection/diagnosis (CAD) system of the present invention allows for rapid analysis of medical images the improving the ability to effectively detect, diagnose, and treat certain diseases.

Abstract: The present invention relates to a method and system for detecting biologically relevant structures in a hierarchical fashion, beginning at a low-resolution and proceeding to higher levels of resolution. The present invention also provides probabilistic pairwise Markov models (PPMMs) to classify these relevant structures. The invention is directed to a novel classification approach which weighs the importance of these structures. The present invention also provides a fast, efficient computer-aided detection/diagnosis (CAD) system capable of rapidly processing medical images (i.e. high throughput). The computer-aided detection/diagnosis (CAD) system of the present invention allows for rapid analysis of medical images the improving the ability to effectively detect, diagnose, and treat certain diseases.

Abstract: A system and method include a database having multiple tables with columns containing information. A database application executes queries against the database. An externalized data structure are stored on the system and provide a user modifiable set of key performance indicators facilitating selection of database tables and queries against the tables to provide multiple levels of viewable key performance indicators to users without having to recompile the database application upon modification of the set of key performance indicators.

Abstract: This invention relates to supervised or unsupervised classification of biological datasets. Specifically, the invention relates to the use of Graph Embedding as a method of reducing dimensionality thereby improving supervised classification of classes, both conventional and new ones.

Abstract: A method of transforming data includes receiving information defining a transformation of an input data object to an output data object and generating, based on the received information, a script operable when executed to implement the defined transformation. The script is then stored. The method also includes receiving a service request from a remote client that requests a particular transformation and identifies a request data object and identifying a script that performs the requested transformation. Additionally, the method includes generating a response data object by executing the identified script on the request data object and transmitting the response data object to the remote client.

Abstract: In one embodiment of the invention, a method for designing data movement from a source file to a target file includes receiving a first data format of a source file via a graphical user interface, receiving a second data format of a target file via the graphical user interface, receiving mappings from a user via the graphical user interface to represent a desired movement of data from the source file to the target file, and automatically converting the mappings into a script to represent a movement of data from the source file to the target file.

Abstract: A method for transforming data includes creating an array and initializing a value in each array element of the array. The method also includes storing data in the array from data components in a source file by, for each data component in the source file, detecting a beginning of the data component and determining whether an array element corresponding to the detected data component is included in the array. If an array element corresponding to a particular data component is included in the array, a value of the corresponding array element is set based on data in the detected data component. If an array element corresponding to that data component is not included in the array, the detected data component is discarded. Additionally, the method includes writing at least a portion of the data stored in the array to a target file.

Abstract: In one embodiment of the invention, a system for data manipulation includes a mapper module operable to receive a first data format of a source file, receive a second data format of a target file, and automatically generate a script to represent a movement of data from the source file to the target file. A server is operable to execute the script, a first interface module is coupled to the source file and is operable to load the data in accordance with the script, and a second interface module is coupled to the target file and is operable to store the data in accordance with the script.

Abstract: A method for transforming data includes receiving information defining a transformation of a source file to a target file, wherein the information identifies a web service and generating, based on the received information, a script operable when executed to implement the defined transformation. The script is then stored. The method further includes receiving a request to perform the transformation on a first file and initiating execution of the script. Additionally, as part of executing the script, the method includes transmitting a service request to the web service that includes input data obtained from the first file. Also as part of executing the script, the method includes receiving a service response from the web service, wherein the service response includes output data and writing the output data to a second file.