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» Target SNP selection in complex disease association studies
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97
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BMCBI
2010
108views more  BMCBI 2010»
14 years 9 months ago
A genetic ensemble approach for gene-gene interaction identification
Background: It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases...
Pengyi Yang, Joshua W. K. Ho, Albert Y. Zomaya, Bi...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
15 years 10 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
BMCBI
2005
157views more  BMCBI 2005»
14 years 9 months ago
Statistical Viewer: a tool to upload and integrate linkage and association data as plots displayed within the Ensembl genome bro
Background: To facilitate efficient selection and the prioritization of candidate complex disease susceptibility genes for association analysis, increasingly comprehensive annotat...
Judith E. Stenger, Hong Xu, Carol Haynes, Elizabet...
BMCBI
2008
113views more  BMCBI 2008»
14 years 9 months ago
A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data
Background: Identification of biomarkers among thousands of genes arrayed for disease classification has been the subject of considerable research in recent years. These studies h...
Liping Huang, Wenying Zhu, Christopher P. Saunders...
94
Voted
BMCBI
2006
95views more  BMCBI 2006»
14 years 9 months ago
Estimate haplotype frequencies in pedigrees
Background: Haplotype analysis has gained increasing attention in the context of association studies of disease genes and drug responsivities over the last years. The potential us...
Qiangfeng Zhang, YuZhong Zhao, Guoliang Chen, Yun ...