A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.
about
A prostate cancer model build by a novel SVM-ID3 hybrid feature selection method using both genotyping and phenotype data from dbGaP.Visualization of pairwise and multilocus linkage disequilibrium structure using latent forests.Multiple quantitative trait analysis using bayesian networks.Sex and tissue specific gene expression patterns identified following de novo transcriptomic analysis of the Norway lobster, Nephrops norvegicus.A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies.Machine Learning and Radiogenomics: Lessons Learned and Future Directions.
P2860
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունվարին 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
A hierarchical Bayesian networ ...... nome-wide association studies.
@ast
A hierarchical Bayesian networ ...... nome-wide association studies.
@en
type
label
A hierarchical Bayesian networ ...... nome-wide association studies.
@ast
A hierarchical Bayesian networ ...... nome-wide association studies.
@en
prefLabel
A hierarchical Bayesian networ ...... nome-wide association studies.
@ast
A hierarchical Bayesian networ ...... nome-wide association studies.
@en
P2093
P2860
P356
P1433
P1476
A hierarchical Bayesian networ ...... nome-wide association studies.
@en
P2093
Christine Sinoquet
Philippe Leray
Raphaël Mourad
P2860
P2888
P356
10.1186/1471-2105-12-16
P577
2011-01-12T00:00:00Z
P5875
P6179
1042697979