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» Algorithms for Finding Gene Clusters
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BMCBI
2007
247views more  BMCBI 2007»
14 years 11 months ago
A survey of DNA motif finding algorithms
Background: Unraveling the mechanisms that regulate gene expression is a major challenge in biology. An important task in this challenge is to identify regulatory elements, especi...
Modan K. Das, Ho-Kwok Dai
IJBRA
2007
88views more  IJBRA 2007»
14 years 11 months ago
Finding molecular complexes through multiple layer clustering of protein interaction networks
: Clustering protein-protein interaction networks (PINs) helps to identify complexes that guide the cell machinery. Clustering algorithms often create a flat clustering, without co...
Bill Andreopoulos, Aijun An, Xiangji Huang, Xiaoga...
BMCBI
2006
122views more  BMCBI 2006»
14 years 11 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
BMCBI
2008
142views more  BMCBI 2008»
14 years 12 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
BMCBI
2006
119views more  BMCBI 2006»
14 years 11 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs