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BMCBI
2007
143views more  BMCBI 2007»
13 years 8 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
HICSS
2002
IEEE
127views Biometrics» more  HICSS 2002»
14 years 1 months ago
Interactive Visualization and Analysis for Gene Expression Data
Currently, the cDNA and genomic sequence projects are processing at such a rapid rate that more and more gene data become available. New methods are needed to efficiently and eff...
Chun Tang, Li Zhang, Aidong Zhang
BMCBI
2010
216views more  BMCBI 2010»
13 years 3 months ago
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
Bo Chen, Minhua Chen, John William Paisley, Aimee ...
BIBE
2007
IEEE
195views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Finding Clusters of Positive and Negative Coregulated Genes in Gene Expression Data
— In this paper, we propose a system for finding partial positive and negative coregulated gene clusters in microarray data. Genes are clustered together if they show the same p...
Kerstin Koch, Stefan Schönauer, Ivy Jansen, J...
BMCBI
2006
166views more  BMCBI 2006»
13 years 8 months ago
bioNMF: a versatile tool for non-negative matrix factorization in biology
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
Alberto D. Pascual-Montano, Pedro Carmona-Saez, Mo...