Patent Document ID: 7783431
Application ID: 11928901
Patent Flag: 1

Claim One:
1. A method of diagnosing a disease by distinguishing a first disease from a second disease comprising the steps of: (a) obtaining high dimensional experimental data from a first biological sample known to be of the first disease and a second biological sample known to be of the second disease by isolating nucleic acids or proteins from each biological sample and detecting the nucleic acids or protein from each sample to determine gene expression levels, protein expression levels, single nucleotide polymorphisms, or comparative genomic analysis of each sample; (b) filtering said data by removing data that does not meet a predetermined threshold; (c) reducing the dimensionality of said data by selecting the features of the data; (d) training a supervised pattern recognition method using data obtained from the first biological sample and the second biological sample to obtain a probability distribution relationship between the data obtained from the first biological sample and the first disease and between the data obtained from the second biological sample and the second disease; (e) ranking individual data points from said high dimensional data by determining the sensitivity of the data point to the classification to the first disease or second disease, wherein said ranking is dependent on an outcome of said supervised pattern recognition method; (f) choosing a first set of multiple data points from said high dimensional data as predictive for the first disease and choosing a second set of multiple data points from said high dimensional data as predictive for the second disease, wherein said choice is based on said relative ranking of said individual data points; and (g) determining whether the subject whose disease condition is unknown has the first or second disease by identifying the presence of said first or second set of multiple data points in experimental data obtained from a biological sample from the subject whose disease condition is unknown.