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» A stable gene selection in microarray data analysis
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BMCBI
2008
166views more  BMCBI 2008»
13 years 7 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
BMCBI
2010
160views more  BMCBI 2010»
13 years 7 months ago
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
Junbai Wang, Tianhai Tian
BMCBI
2005
132views more  BMCBI 2005»
13 years 7 months ago
Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein
Background: A large number of papers have been published on analysis of microarray data with particular emphasis on normalization of data, detection of differentially expressed ge...
Gajendra P. S. Raghava, Joon H. Han
IDA
2005
Springer
14 years 1 months ago
Biological Cluster Validity Indices Based on the Gene Ontology
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...
Nora Speer, Christian Spieth, Andreas Zell
BMCBI
2007
113views more  BMCBI 2007»
13 years 7 months ago
CoryneRegNet 4.0 - A reference database for corynebacterial gene regulatory networks
Background: Detailed information on DNA-binding transcription factors (the key players in the regulation of gene expression) and on transcriptional regulatory interactions of micr...
Jan Baumbach