Woolf, Wang_2000_A fuzzy logic approach to analyzing gene expression data

Woolf, Wang_2000_A fuzzy logic approach to analyzing gene expression data

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Unformatted text preview: 3:9-15, 2000. Physiol Genomics PETER J. WOOLF and YIXIN WANG You might find this additional information useful... 8 articles, 5 of which you can access free at: This article cites http://physiolgenomics.physiology.org/cgi/content/full/3/1/9#BIBL 12 other HighWire hosted articles, the first 5 are: This article has been cited by [PDF] [Full Text] [Abstract] , June 15, 2005; 21 (12): 2883-2890. Bioinformatics K.-C. Chen, T.-Y. Wang, H.-H. Tseng, C.-Y. F. Huang and C.-Y. Kao network in Saccharomyces cerevisiae A stochastic differential equation model for quantifying transcriptional regulatory [PDF] [Full Text] [Abstract] , January 12, 2007; 35 (1): 279-287. Nucleic Acids Res. T. T. Vu and J. Vohradsky applied to microarray data of Saccharomyces cerevisiae Nonlinear differential equation model for quantification of transcriptional regulation [PDF] [Full Text] [Abstract] , July 1, 2007; 23 (13): 1623-1630. Bioinformatics A. Fujita, J.R. Sato, H.M. Garay-Malpartida, P.A. Morettin, M.C. Sogayar and C.E. Ferreira vector autoregressive method Time-varying modeling of gene expression regulatory networks using the wavelet dynamic [PDF] [Full Text] [Abstract] , September 15, 2007; 23 (18): 2407-2414. Bioinformatics M. Elati, P. Neuvial, M. Bolotin-Fukuhara, E. Barillot, F. Radvanyi and C. Rouveirol LICORN: learning cooperative regulation networks from gene expression data [PDF] [Full Text] [Abstract] , November 1, 2007; 23 (21): 2903-2909. Bioinformatics J. Zhang, Y. Ji and L. Zhang Extracting three-way gene interactions from microarray data on the following topics: http://highwire.stanford.edu/lists/artbytopic.dtl can be found at Medline items on this article's topics Computer Science .. Fuzzy Logic Microbiology .. Yeast Gene Oncology .. Transcription Factors including high-resolution figures, can be found at: Updated information and services http://physiolgenomics.physiology.org/cgi/content/full/3/1/9 can be found at: Physiological Genomics about Additional material and information http://www.the-aps.org/publications/pg This information is current as of February 8, 2008 . http://www.the-aps.org/. the American Physiological Society. ISSN: 1094-8341, ESSN: 1531-2267. Visit our website at July, and October by the American Physiological Society, 9650 Rockville Pike, Bethesda MD 20814-3991. Copyright © 2005 by techniques linking genes and pathways to physiology, from prokaryotes to eukaryotes. It is published quarterly in January, April, publishes results of a wide variety of studies from human and from informative model systems with Physiological Genomics on February 8, 2008 physiolgenomics.physiology.org Downloaded from A fuzzy logic approach to analyzing gene expression data PETER J. WOOLF 1,2 AND YIXIN WANG 1 1 Bioinformatics, Department of Molecular Biology, Parke-Davis Pharmaceutical Research, Warner-Lanbert, Ann Arbor 48105; and 2 Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109 Received 14 February 2000; accepted in final form 15 April 2000...
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This note was uploaded on 07/08/2011 for the course CS 101 taught by Professor Khliu during the Spring '11 term at Xiamen University.

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Woolf, Wang_2000_A fuzzy logic approach to analyzing gene expression data

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