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.

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.