Abstract: An analytical process is disclosed, for discriminating data acquired from samples with overlapping distributions, and for improving and assessing the statistical validity of hybridization signal in arrays of assays. The process includes method of convolving data into two or more discrete probability density functions representing signal and nonsignal, discrete fluors, or other convolved independent variables. The system uses the probability density functions to assign hybridization signals, objectively, to one of the modeled distributions. Subsequent processes assess variability inherent to the arrays, and use this assessed variation to establish reliability scores and confidence limits for complete hybridization arrays, and for discrete hybridization assays within arrays.

Abstract: A method that includes receiving a search term and an identifier associated with a bookmark is provided. A database is searched using the search term and a website associated with the bookmark is also searched using the search term.

Abstract: An agile transparent network with a trail routing and switching (also called “engineering”) mechanism is provided that enables efficient use of regenerators and wavelengths available in the network, while maintaining a very efficient time-to-service. The trail engineering mechanism allows fast, automatic establishment of new connections based on the current network architecture, connectivity and loading and also on conditions in the connection request. Selection of regenerator sites and of the wavelengths used on each regenerator segment is performed with optimal use of current network resources, while ensuring that the quality of the selected trail is adequate for the respective call. The mechanism provides for both distance and performance balancing, and it optimizes the network response time.

Abstract: A method for improving the reliability and/or accuracy of physical measurements obtained from array hybridization studies performed on an array having a large number of genomic samples uses a small number of replicates insufficient for making precise and valid statistical inferences. This is overcome by estimating an error in measurement of a sample by averaging errors obtained when measuring the large number of samples or a subset of the large number of samples. The estimated sample error is utilized as a standard for accepting or rejecting the measurement of the respective sample. The samples may be independent or dependent in that correlated across two or more conditions.

Abstract: A method is disclosed for improving the reliability of physical measurements obtained from array hybridization studies performed on an array having a large number of genomic samples including a replicate subset containing a small number of replicates insufficient for making precise and valid statistical inferences. An error in measurement of a sample is estimated by combining estimates obtained with individual samples in the replicate subset, and utilizing the estimated sample error as a standard for accepting or rejecting the measurement of a sample under test.

Abstract: An analytical process is disclosed, for discriminating data acquired from samples with overlapping distributions, and for improving and assessing the statistical validity of hybridization signal in arrays of assays. The process includes method of convolving data into two or more discrete probability density functions representing signal and nonsignal, discrete fluors, or other convolved independent variables. The system uses the probability density functions to assign hybridization signals, objectively, to one of the modeled distributions. Subsequent processes assess variability inherent to the arrays, and use this assessed variation to establish reliability scores and confidence limits for complete hybridization arrays, and for discrete hybridization assays within arrays.

Abstract: An analytical process is disclosed, for discriminating data acquired from samples with overlapping distributions, and for improving and assessing the statistical validity of hybridization signal in arrays of assays. The process includes method of convolving data into two or more discrete probability density functions representing signal and nonsignal, discrete fluors, or other convolved independent variables. The system uses the probability density functions to assign hybridization signals, objectively, to one of the modeled distributions. Subsequent processes assess variability inherent to the arrays, and use this assessed variation to establish reliability scores and confidence limits for complete hybridization arrays, and for discrete hybridization assays within arrays.

Abstract: A method for improving the reliability and/or accuracy of physical measurements obtained from array hybridization studies performed on an array having a large number of genomic samples uses a small number of replicates insufficient for making precise and valid statistical inferences. This is overcome by estimating an error in measurement of a sample by averaging errors obtained when measuring the large number of samples or a subset of the large number of samples. The estimated sample error is utilized as a standard for accepting or rejecting the measurement of the respective sample. The samples may be independent or dependent in that correlated across two or more conditions.

Abstract: An analytical process is disclosed, for discriminating data acquired from samples with overlapping distributions, and for improving and assessing the statistical validity of hybridization signal in arrays of assays. The process includes method of convolving data into two or more discrete probability density functions representing signal and nonsignal, discrete fluors, or other convolved independent variables. The system uses the probability density functions to assign hybridization signals, objectively, to one of the modeled distributions. Subsequent processes assess variability inherent to the arrays, and use this assessed variation to establish reliability scores and confidence limits for complete hybridization arrays, and for discrete hybridization assays within arrays.