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» A new approach to analyzing gene expression time series data
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BMCBI
2010
118views more  BMCBI 2010»
14 years 10 months ago
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identifica
Background: Comparative analysis of gene expression profiling of multiple biological categories, such as different species of organisms or different kinds of tissue, promises to e...
Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao ...
BMCBI
2007
103views more  BMCBI 2007»
14 years 9 months ago
Systems biology approach for mapping the response of human urothelial cells to infection by Enterococcus faecalis
Background: To better understand the response of urinary epithelial (urothelial) cells to Enterococcus faecalis, a uropathogen that exhibits resistance to multiple antibiotics, a ...
Mikhail G. Dozmorov, Kimberly D. Kyker, Ricardo Sa...
BMCBI
2005
112views more  BMCBI 2005»
14 years 9 months ago
Towards precise classification of cancers based on robust gene functional expression profiles
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhe...
BMCBI
2005
97views more  BMCBI 2005»
14 years 9 months ago
Phylogenetic reconstruction of ancestral character states for gene expression and mRNA splicing data
Background: As genomes evolve after speciation, gene content, coding sequence, gene expression, and splicing all diverge with time from ancestors with close relatives. A minimum e...
Roald Rossnes, Ingvar Eidhammer, David A. Liberles
BMCBI
2005
116views more  BMCBI 2005»
14 years 9 months ago
Dynamic covariation between gene expression and proteome characteristics
Background: Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to ch...
Mansour Taghavi Azar Sharabiani, Markku Siermala, ...