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This method uses an undirected graphical model, the Boltzmann machine, to integrate biological knowledge (i.e. Gene Ontology or Pathway annotation) with gene expression data. The ultimate goal is to identify differentially expressed genes more accurately than what is possible with microarray data alone.
This project is an R package enabling the integration of currently existing microarray data from repositories like NCBI's Gene Expression Omnibus (GEO) with microarray data querying conditions of interest. The goal of this integration is to better identify differentially expressed genes in the query conditions.
Keywords: differentially expressed genes, Microarray, SVD