摘要:
Provided are a method and system for predicting pathways of genes that serve the same biological purpose using gene expression pattern data and protein interaction data. The method of predicting a gene pathway includes: a first step of generating partial pathways from gene expression pattern data by using a pathway extraction algorithm, and matching the partial pathways to express them as a graph; a second step of generating partial pathways from protein interaction data by using a pathway extraction algorithm, and matching the partial pathways to express them as a graph; and a third step of combining a graph made in the first step and a graph made in the second step by using a graph matching algorithm to make a combined graph.
摘要:
Provided is a method for identifying relevant groups of genes using gene expression profiles. More particularly, it is provided a method for identifying relevant groups of genes using gene expression profiles, which analyzes the gene expression profiles obtained from microarray experiments to automatically extract seed genes of significance and identifies the relevant groups of genes based on the extracted seed genes, so that effective identification is possible regardless of the number of genes and a blind setting of initial input parameters are not required for users to readily use the method, wherein the method comprises the steps of (a) preprocessing the gene expression profiles; (b) setting the number of gene groups to be desired (k) and a input parameter(s); (c) extracting k seed genes (k=1, 2, 3, . . . ,n) based on the set input parameter(s); (d) identifying relevant groups of genes by means of the extracted seed genes; and (e) evaluating the identified relevant groups of genes.