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» Classification of microarray data using gene networks
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117
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BMCBI
2006
96views more  BMCBI 2006»
15 years 3 months ago
Bayesian detection of periodic mRNA time profiles without use of training examples
Background: Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for ident...
Claes R. Andersson, Anders Isaksson, Mats G. Gusta...
BMCBI
2005
126views more  BMCBI 2005»
15 years 3 months ago
Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
125
Voted
BMCBI
2010
175views more  BMCBI 2010»
15 years 3 months ago
The BridgeDb framework: standardized access to gene, protein and metabolite identifier mapping services
Background: Many complementary solutions are available for the identifier mapping problem. This creates an opportunity for bioinformatics tool developers. Tools can be made to fle...
Martijn P. van Iersel, Alexander R. Pico, Thomas K...
156
Voted
ECCB
2008
IEEE
15 years 10 months ago
SIRENE: supervised inference of regulatory networks
Living cells are the product of gene expression programs that involve the regulated transcription of thousands of genes. The elucidation of transcriptional regulatory networks in ...
Fantine Mordelet, Jean-Philippe Vert
141
Voted
JCB
2007
130views more  JCB 2007»
15 years 3 months ago
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
Jim C. Huang, Quaid Morris, Brendan J. Frey