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» Connecting Genes with Diseases
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 6 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
BMCBI
2008
114views more  BMCBI 2008»
14 years 12 months ago
Identifying a few foot-and-mouth disease virus signature nucleotide strings for computational genotyping
Background: Serotypes of the Foot-and-Mouth disease viruses (FMDVs) were generally determined by biological experiments. The computational genotyping is not well studied even with...
Guohui Lin, Zhipeng Cai, Junfeng Wu, Xiu-Feng Wan,...
BMCBI
2010
86views more  BMCBI 2010»
14 years 12 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...
GPEM
2007
119views more  GPEM 2007»
14 years 11 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
BMCBI
2005
124views more  BMCBI 2005»
14 years 11 months ago
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...