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» Gene Expression Clustering with Functional Mixture Models
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BIBM
2009
IEEE
172views Bioinformatics» more  BIBM 2009»
14 years 2 months ago
Identifying Gene Signatures from Cancer Progression Data Using Ordinal Analysis
—A comprehensive understanding of cancer progression may shed light on genetic and molecular mechanisms of oncogenesis, and it may provide much needed information for effective d...
Yoon Soo Pyon, Jing Li
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
14 years 9 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
BMCBI
2006
122views more  BMCBI 2006»
13 years 9 months ago
Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle
Background: A transcriptional regulatory module (TRM) is a set of genes that is regulated by a common set of transcription factors (TFs). By organizing the genome into TRMs, a liv...
Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
RECOMB
2004
Springer
14 years 9 months ago
The Statistical Significance of Max-Gap Clusters
Identifying gene clusters, genomic regions that share local similarities in gene organization, is a prerequisite for many different types of genomic analyses, including operon pred...
Rose Hoberman, David Sankoff, Dannie Durand
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 10 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon