Evaluating test statistics to select interesting genes in microarray experiments.

by: C Kooperberg, S Sipione, M LeBlanc, AD Strand, E Cattaneo, JM Olson

Hum Mol Genet, Vol. 11, No. 19. (15 September 2002), pp. 2223-2232.

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Abstract

A randomization procedure to evaluate the significance level and the false-discovery rate in complex microarray experiments is proposed. A related graph can be used to compare different test statistics that can be used to analyze the same experiment. This graph is closely related to receiver operator characteristic (ROC) curves. The proposed method is applied to a subset of the data from a cell-line experiment related to Huntington's disease. A small simulation study compares the effectiveness of the proposed procedure with the significance analysis of microarrays (SAM) procedure.

@article{citeulike:239515, abstract = {A randomization procedure to evaluate the significance level and the false-discovery rate in complex microarray experiments is proposed. A related graph can be used to compare different test statistics that can be used to analyze the same experiment. This graph is closely related to receiver operator characteristic (ROC) curves. The proposed method is applied to a subset of the data from a cell-line experiment related to Huntington's disease. A small simulation study compares the effectiveness of the proposed procedure with the significance analysis of microarrays (SAM) procedure.}, address = {Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, PO Box 19024, MP 1002, Seattle, WA 98109-1024, USA. clk@fhcrc.org}, author = {Kooperberg, C. and Sipione, S. and LeBlanc, M. and Strand, A. D. and Cattaneo, E. and Olson, J. M. }, citeulike-article-id = {239515}, issn = {0964-6906}, journal = {Hum Mol Genet}, keywords = {microarray, sam}, month = {September}, number = {19}, pages = {2223--2232}, posted-at = {2008-08-20 00:41:23}, priority = {2}, title = {Evaluating test statistics to select interesting genes in microarray experiments.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/12217950}, volume = {11}, year = {2002} }

RIS record

TY - JOUR ID - citeulike:239515 L3 - citeulike-article-id:239515 N2 - A randomization procedure to evaluate the significance level and the false-discovery rate in complex microarray experiments is proposed. A related graph can be used to compare different test statistics that can be used to analyze the same experiment. This graph is closely related to receiver operator characteristic (ROC) curves. The proposed method is applied to a subset of the data from a cell-line experiment related to Huntington's disease. A small simulation study compares the effectiveness of the proposed procedure with the significance analysis of microarrays (SAM) procedure. IS - 19 JF - Hum Mol Genet SN - 0964-6906 AD - Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, PO Box 19024, MP 1002, Seattle, WA 98109-1024, USA. clk@fhcrc.org EP - 2232 TI - Evaluating test statistics to select interesting genes in microarray experiments. VL - 11 SP - 2223 KW - microarray KW - sam AU - Kooperberg, C AU - Sipione, S AU - LeBlanc, M AU - Strand, AD AU - Cattaneo, E AU - Olson, JM PY - 2002/09/15/ UR - http://view.ncbi.nlm.nih.gov/pubmed/12217950 ER -

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