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» Detecting microRNA activity from gene expression data
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BMCBI
2006
155views more  BMCBI 2006»
15 years 14 days ago
AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data
Background: DNA microarrays are a powerful tool for monitoring the expression of tens of thousands of genes simultaneously. With the advance of microarray technology, the challeng...
Guoqing Lu, The V. Nguyen, Yuannan Xia, Michael Fr...
154
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Biological pathway inference using manifold embedding
Disease occurs due to aberrant modulation of biological pathways. Identification of activated gene pathways from gene expression data is an important problem. In this work, we de...
Arvind Rao, Alfred O. Hero
126
Voted
SP
2008
IEEE
134views Security Privacy» more  SP 2008»
15 years 10 days ago
Discover gene specific local co-regulations from time-course gene expression data
Discovering gene co-regulatory relationships is one of most important research in DNA microarray data analysis. The problem of gene specific co-regulation discovery is to, for a p...
Ji Zhang, Qigang Gao, Hai H. Wang
BIOINFORMATICS
2010
250views more  BIOINFORMATICS 2010»
14 years 11 months ago
DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
Summary: High-throughput RNA sequencing (RNA-seq) is rapidly emerging as a major quantitative transcriptome profiling platform. Here we present DEGseq, an R package to identify di...
Likun Wang, Zhixing Feng, Xi Wang, Xiaowo Wang, Xu...
102
Voted
NAR
2002
136views more  NAR 2002»
15 years 2 days ago
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data. GEO provides a flexible...
Ron Edgar, Michael Domrachev, Alex E. Lash