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Is it possible to quantify and rank the quality of several lists of significant genes found with gene expression profiling by different methods?
EP20386
Poster Title: Is it possible to quantify and rank the quality of several lists of significant genes found with gene expression profiling by different methods?
Submitted on 19 Dec 2013
Author(s): Joachim R. Grün, Andreas Grützkau, Biljana Smiljanovic, Thomas Häupl, Gerd-Rüdiger Burmester, Andreas Radbruch
Affiliations: Deutsches Rheuma-Forschungszentrum (DRFZ) Berlin, Germany; Rheumatology, Charité CCM Berlin Germany
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Abstract: High Performance Chip Data Analysis (HPCDA) improves expression profiling of Affymetrix chips via Bioretis database: you can easily use the default parameters and are sure to get the optimum of true positive results, independant of number of significant genes in your dataset. Gene List Significance Index (GLSI) quantifies quality of gene lists. With GLSI its easily judged which normalization/analyzing method gives better results. HPCDA score ranks by relevance.Summary: High Performance Chip Data Analysis (HPCDA) improves expression profiling of Affymetrix chips via Bioretis database: you can easily use the default parameters and are sure to get the optimum of true positive results, independant of number of significant genes in your dataset. Gene List Significance Index (GLSI) quantifies quality of gene lists. With GLSI its easily judged which normalization/analyzing method gives better results. HPCDA score ranks by relevance.Report abuse »
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