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» Clustering gene expression patterns
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CEC
2003
IEEE
15 years 3 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
BMCBI
2010
153views more  BMCBI 2010»
14 years 10 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
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, ...
BMCBI
2010
106views more  BMCBI 2010»
14 years 10 months ago
A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes
Background: Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that pr...
Guofeng Meng, Axel Mosig, Martin Vingron
NAR
2010
123views more  NAR 2010»
14 years 4 months ago
Xenbase: gene expression and improved integration
Xenbase (www.xenbase.org), the model organism database for Xenopus laevis and X. (Silurana) tropicalis, is the principal centralized resource of genomic, development data and comm...
Jeff B. Bowes, Kevin A. Snyder, Erik Segerdell, Ch...