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BICOB
2009
Springer
13 years 3 months ago
A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets
We propose a two-step biclustering approach to mine co-regulation patterns of a given reference gene to discover other genes that function in a common biological process. Currently...
Doruk Bozdag, Jeffrey D. Parvin, Ümit V. &Cce...
CSB
2004
IEEE
164views Bioinformatics» more  CSB 2004»
13 years 9 months ago
Biclustering in Gene Expression Data by Tendency
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
Jinze Liu, Jiong Yang, Wei Wang 0010
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
13 years 11 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
BMCBI
2006
170views more  BMCBI 2006»
13 years 5 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
BMCBI
2007
176views more  BMCBI 2007»
13 years 6 months ago
Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...
Markus Weniger, Julia C. Engelmann, Jörg Schu...