Comparative gene marker selection suite.

by: J Gould, G Getz, S Monti, M Reich, JP Mesirov

Bioinformatics, Vol. 22, No. 15. (1 August 2006), pp. 1924-1925.

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Abstract

MOTIVATION: An important step in analyzing expression profiles from microarray data is to identify genes that can discriminate between distinct classes of samples. Many statistical approaches for assigning significance values to genes have been developed. The Comparative Marker Selection suite consists of three modules that allow users to apply and compare different methods of computing significance for each marker gene, a viewer to assess the results, and a tool to create derivative datasets and marker lists based on user-defined significance criteria. AVAILABILITY: The Comparative Marker Selection application suite is freely available as a GenePattern module. The GenePattern analysis environment is freely available at http://www.broad.mit.edu/genepattern.

@article{citeulike:1005974, abstract = {MOTIVATION: An important step in analyzing expression profiles from microarray data is to identify genes that can discriminate between distinct classes of samples. Many statistical approaches for assigning significance values to genes have been developed. The Comparative Marker Selection suite consists of three modules that allow users to apply and compare different methods of computing significance for each marker gene, a viewer to assess the results, and a tool to create derivative datasets and marker lists based on user-defined significance criteria. AVAILABILITY: The Comparative Marker Selection application suite is freely available as a GenePattern module. The GenePattern analysis environment is freely available at http://www.broad.mit.edu/genepattern.}, address = {Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. jgould@broad.mit.edu}, author = {Gould, J. and Getz, G. and Monti, S. and Reich, M. and Mesirov, J. P. }, citeulike-article-id = {1005974}, doi = {10.1093/bioinformatics/btl196}, issn = {1460-2059}, journal = {Bioinformatics}, keywords = {analysis, gene\_pattern, stats}, month = {August}, number = {15}, pages = {1924--1925}, posted-at = {2008-05-07 15:30:59}, priority = {2}, title = {Comparative gene marker selection suite.}, url = {http://dx.doi.org/10.1093/bioinformatics/btl196}, volume = {22}, year = {2006} }

RIS record

TY - JOUR ID - citeulike:1005974 L3 - citeulike-article-id:1005974 TI - Comparative gene marker selection suite. JF - Bioinformatics VL - 22 IS - 15 SP - 1924 EP - 1925 AD - Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. jgould@broad.mit.edu SN - 1460-2059 N2 - MOTIVATION: An important step in analyzing expression profiles from microarray data is to identify genes that can discriminate between distinct classes of samples. Many statistical approaches for assigning significance values to genes have been developed. The Comparative Marker Selection suite consists of three modules that allow users to apply and compare different methods of computing significance for each marker gene, a viewer to assess the results, and a tool to create derivative datasets and marker lists based on user-defined significance criteria. AVAILABILITY: The Comparative Marker Selection application suite is freely available as a GenePattern module. The GenePattern analysis environment is freely available at http://www.broad.mit.edu/genepattern. KW - analysis KW - gene_pattern KW - stats AU - Gould, J AU - Getz, G AU - Monti, S AU - Reich, M AU - Mesirov, JP PY - 2006/08/01/ UR - http://dx.doi.org/10.1093/bioinformatics/btl196 ER -

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