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» Gene set analysis for longitudinal gene expression data
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BICOB
2009
Springer
13 years 5 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...
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee
JIB
2006
110views more  JIB 2006»
13 years 7 months ago
Combining biomedical knowledge and transcriptomic data to extract new knowledge on genes
In biomedical research, interpretation of microarray data requires confrontation of data and knowledge from heterogeneous resources, either in the biomedical domain or in genomics...
Emilie Guérin, Gwenaëlle Marquet, Juli...
BMCBI
2008
97views more  BMCBI 2008»
13 years 7 months ago
MCM-test: a fuzzy-set-theory-based approach to differential analysis of gene pathways
Background: Gene pathway can be defined as a group of genes that interact with each other to perform some biological processes. Along with the efforts to identify the individual g...
Lily R. Liang, Vinay Mandal, Yi Lu, Deepak Kumar
BMCBI
2010
130views more  BMCBI 2010»
13 years 7 months ago
Knowledge-guided gene ranking by coordinative component analysis
Background: In cancer, gene networks and pathways often exhibit dynamic behavior, particularly during the process of carcinogenesis. Thus, it is important to prioritize those gene...
Chen Wang, Jianhua Xuan, Huai Li, Yue Wang, Ming Z...