Power of data mining methods to detect genetic associations and interactions
about
Finding type 2 diabetes causal single nucleotide polymorphism combinations and functional modules from genome-wide association data.Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy.Random forests for genomic data analysis.Genetic interaction of GSH metabolic pathway genes in cystic fibrosisEvaluating methods for modeling epistasis networks with application to head and neck cancer.Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes.Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.The association of alcohol intake with γ-glutamyl transferase (GGT) levels: evidence for correlated genetic effectsIntegration of Random Forest with population-based outlier analyses provides insight on the genomic basis and evolution of run timing in Chinook salmon (Oncorhynchus tshawytscha).Machine Learning and Radiogenomics: Lessons Learned and Future Directions.Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
P2860
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P2860
Power of data mining methods to detect genetic associations and interactions
description
2011 nî lūn-bûn
@nan
2011 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Power of data mining methods to detect genetic associations and interactions
@ast
Power of data mining methods to detect genetic associations and interactions
@en
Power of data mining methods to detect genetic associations and interactions
@nl
type
label
Power of data mining methods to detect genetic associations and interactions
@ast
Power of data mining methods to detect genetic associations and interactions
@en
Power of data mining methods to detect genetic associations and interactions
@nl
prefLabel
Power of data mining methods to detect genetic associations and interactions
@ast
Power of data mining methods to detect genetic associations and interactions
@en
Power of data mining methods to detect genetic associations and interactions
@nl
P2093
P2860
P50
P356
P1433
P1476
Power of data mining methods to detect genetic associations and interactions
@en
P2093
Annette M Molinaro
Nicholas Carriero
Robert Bjornson
P2860
P356
10.1159/000330579
P577
2011-09-17T00:00:00Z