Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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2015年论文

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Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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P1476

Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

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P2093

Albert M Levin

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Badri Padhukasahasram

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Esteban G Burchard

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L Keoki Williams

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P2860

Random Forests

Five years of GWAS discovery

A large-scale, consortium-based genomewide association study of asthma

GATES: a rapid and powerful gene-based association test using extended Simes procedure

Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations.

An improved Bonferroni procedure for multiple tests of significance

Genome-wide association study of asthma identifies RAD50-IL13 and HLA-DR/DQ regions

Gene-based association identifies SPATA13-AS1 as a pharmacogenomic predictor of inhaled short-acting beta-agonist response in multiple population groups.

Rare-variant association testing for sequencing data with the sequence kernel association test.

A versatile gene-based test for genome-wide association studies.

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e0143489

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scholarly article

P356

10.1371/JOURNAL.PONE.0143489

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P407

English

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P478

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Chandan K. Reddy

P577

2015-11-30T00:00:00Z

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285371257

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26619286

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4664402

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