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» Cancer disease: integrative modelling approaches
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BMCBI
2011
13 years 2 months ago
The dChip survival analysis module for microarray data
Background: Genome-wide expression signatures are emerging as potential marker for overall survival and disease recurrence risk as evidenced by recent commercialization of gene ex...
Samir B. Amin, Parantu K. Shah, Aimin Yan, Sophia ...
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
BMCBI
2010
126views more  BMCBI 2010»
13 years 5 months ago
PETALS: Proteomic Evaluation and Topological Analysis of a mutated Locus' Signaling
Background: Colon cancer is driven by mutations in a number of genes, the most notorious of which is Apc. Though much of Apc's signaling has been mechanistically identified o...
Gürkan Bebek, Vishal Patel, Mark R. Chance
BMCBI
2007
182views more  BMCBI 2007»
13 years 7 months ago
Additive risk survival model with microarray data
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
Shuangge Ma, Jian Huang
BMCBI
2011
12 years 11 months ago
GPCR-SSFE: A comprehensive database of G-protein-coupled receptor template predictions and homology models
Background: G protein-coupled receptors (GPCRs) transduce a wide variety of extracellular signals to within the cell and therefore have a key role in regulating cell activity and ...
Catherine L. Worth, Annika Kreuchwig, Gunnar Klein...