Title: "Gene set analysis for microarray gene expression data"
Speaker: Dr. Hongmei Jiang, Department of Statistics, Northwestern University, Evanston, IL
Place: Mechanical Engineering (ME) 161; October 7, 2008, Tuesday, 4:30pm


Identifying differential gene expression patterns in microarray studies has recently shifted from testing individual genes to testing groups or sets of genes (for example, pathways). The sets of genes may be pre-defined by the researchers, or could be collected from pathway databases or Gene Ontology (GO) annotations. A list of differentially expressed gene GO terms is more meaningful to answer biological questions than a list of statistically significant genes. Different null hypotheses and statistical methods for gene set analysis will be discussed along with an investigation of Fisher's method of combining p-values from gene-basis tests for testing the significance of groups of genes.

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