Patent ID: 7774143

Claim:
A method of diagnosing, predicting, or prognosticating about a disease comprising the steps of: (a) obtaining experimental data from a biological sample from an organism having the disease by isolating nucleic acids or proteins from the biological sample and detecting the nucleic acids or protein from the sample, wherein said experimental data from the biological sample is obtained from methods using analysis selected from the group consisting of: Protein arrays, protein chips, cell array based expression analysis, analysis of patterns of single nucleotide polymorphisms in disease conditions, comparative genomic hybridization on metaphase BAC genomic DNA, cDNA, or oligonucleotide arrays and gene expression data; (b) filtering said data; (c) reducing the dimensionality of said data through the use of one or more methods; (d) training a supervised pattern recognition method using the filtered and decreased dimensionality data, wherein said supervised pattern recognition method comprises an artificial neural network, wherein the artificial neural network when trained provides a probability distribution relationship between experimental data used as training data and a corresponding expected result for any of the disease, the predilection for the disease, or the prognosis for the disease; (e) ranking individual experimental data points from said experimental data to provide a total rank and a rank for the disease, wherein said ranking is dependent on a model formed from the training data of said supervised pattern recognition method; (f) choosing multiple data points from said experimental data, wherein said choice is based on said relative ranking of said individual data points for the disease; (g) using said multiple data points to classify a second biological sample having an unknown result by determining if a set of experimental data from the second sample indicates any of the disease, the predilection for the disease, or the prognosis about the disease; and (h) displaying the indication to a user.