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Down-Weighting Overlapping Genes Improves Gene Set Analysis, Adi Tarca, Sorin Draghici, Gaurav Bhatti, Roberto Romero
Down-Weighting Overlapping Genes Improves Gene Set Analysis, Adi Tarca, Sorin Draghici, Gaurav Bhatti, Roberto Romero
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
The identification of gene sets that are significantly impacted in a given condition based on microarray data is a crucial step in current life science research. Most gene set analysis methods treat genes equally, regardless how specific they are to a given gene set.
Results
In this work we propose a new gene set analysis method that computes a gene set score as the mean of absolute values of weighted moderated gene t-scores. The gene weights are designed to emphasize the genes appearing in few gene sets, versus genes that appear in many gene sets. We demonstrate the …