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» A Comorbidity Network Approach to Predict Disease Risk
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BMCBI
2007
181views more  BMCBI 2007»
13 years 7 months ago
Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases
Background: In recent years, mammalian protein-protein interaction network databases have been developed. The interactions in these databases are either extracted manually from lo...
Seth I. Berger, Jeremy M. Posner, Avi Ma'ayan
BMCBI
2010
106views more  BMCBI 2010»
13 years 7 months ago
Predicting MHC class I epitopes in large datasets
Background: Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide seq...
Kirsten Roomp, Iris Antes, Thomas Lengauer
BMCBI
2006
216views more  BMCBI 2006»
13 years 7 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
BMCBI
2008
108views more  BMCBI 2008»
13 years 7 months ago
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroun
Background: Few genetic factors predisposing to the sporadic form of amyotrophic lateral sclerosis (ALS) have been identified, but the pathology itself seems to be a true multifac...
Silvana Penco, Massimo Buscema, Maria Cristina Pat...
INFSOF
2007
139views more  INFSOF 2007»
13 years 7 months ago
Predicting software defects in varying development lifecycles using Bayesian nets
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
Norman E. Fenton, Martin Neil, William Marsh, Pete...