title: A method for the detection of meaningful and reproducible group signatures from gene expression profiles.
abstract: Gene expression microarrays are commonly used to detect the biological signature of a disease or to gain a better understanding of the underlying mechanism of how a group of drugs treat a specific disease. The outcome of such experiments, e.g. the signature, is a list of differentially expressed genes. Reproducibility across independent experiments remains a challenge. We are interested in creating a method that can detect the shared signature of a group of expression profiles, e.g. a group of samples from individuals with the same disease or a group of drugs that treat the same therapeutic indication. We have developed a novel Weighted Influence-Rank of Ranks (WIMRR) method, and we demonstrate its ability to produce both meaningful and reproducible group signatures.
authors.affiliation: Computer Science Department, University of Maryland, AV Williams Bldg, Rm 3228, College Park, Maryland 20742, USA. licamele@cs.umd.edu
authors.forename: Louis
authors.initials: L
authors.lastname: Licamele
authors.forename: Lise
authors.initials: L
authors.lastname: Getoor
mesh_terms: D000305:Adrenal Cortex Hormones / Q000494:pharmacology; D000928:Antidepressive Agents / Q000494:pharmacology; D014150:Antipsychotic Agents / Q000494:pharmacology; D019295:Computational Biology; D057225:Data Mining / Q000706:statistics & numerical data; D055808:Drug Discovery / Q000706:statistics & numerical data; D015870:Gene Expression / Q000187:drug effects; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D006633:Histamine Antagonists / Q000494:pharmacology; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data; D010865:Pilot Projects
chemical_list: D000305:Adrenal Cortex Hormones; D000928:Antidepressive Agents; D014150:Antipsychotic Agents; D006633:Histamine Antagonists