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» Cancer disease: integrative modelling approaches
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BMCBI
2004
180views more  BMCBI 2004»
13 years 5 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
BMCBI
2010
86views more  BMCBI 2010»
13 years 5 months ago
A novel approach to simulate gene-environment interactions in complex diseases
Background: Complex diseases are multifactorial traits caused by both genetic and environmental factors. They represent the major part of human diseases and include those with lar...
Roberto Amato, Michele Pinelli, Daniel D'Andrea, G...
BMCBI
2010
125views more  BMCBI 2010»
13 years 5 months ago
Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types
Background: Much of the public access cancer microarray data is asymmetric, belonging to datasets containing no samples from normal tissue. Asymmetric data cannot be used in stand...
Noor B. Dawany, Aydin Tozeren
NAR
2011
216views Computer Vision» more  NAR 2011»
12 years 8 months ago
ChemProt: a disease chemical biology database
Systems pharmacology is an emergent area that studies drug action across multiple scales of complexity, from molecular and cellular to tissue and organism levels. There is a criti...
Olivier Taboureau, Sonny Kim Nielsen, Karine Audou...
BMCBI
2005
223views more  BMCBI 2005»
13 years 5 months ago
Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling
Background: The completion of the sequencing of human, mouse and rat genomes and knowledge of cross-species gene homologies enables studies of differential gene expression in anim...
Hong Fang, Weida Tong, Roger Perkins, Leming M. Sh...