Abstract:
Spotted cDNA microarrays are emerging as a cost effective tool for the large scale analysis of gene expression. To reveal the patterns of genes expressed within a specifi...Show MoreMetadata
Abstract:
Spotted cDNA microarrays are emerging as a cost effective tool for the large scale analysis of gene expression. To reveal the patterns of genes expressed within a specific cell essentially responsible for its phenotype, this paper reports our progress in cluster discovery using a newly developed data mining method. The discussion entails: (1) statistical modeling of gene microarray data with a standard finite normal mixture distribution, (2) development of a joint supervised and unsupervised discriminative mining to discover sample clusters in a visual pyramid, and (3) evaluation of the data clusters produced by such scheme with phenotype-known microarray experiments.
Date of Conference: 12-12 September 2001
Date Added to IEEE Xplore: 07 August 2002
Print ISBN:0-7803-7196-8
Print ISSN: 1089-3555
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Contents Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
Catholic University of America, Washington D.C., DC, USA
