FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

about

Comparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits.COMBAT: A Combined Association Test for Genes Using Summary Statistics.

P2860

Q36386480-AA76A0C7-D610-409F-9AF3-7A69F0710B46 Q47697812-08BB07F8-E05E-420D-8794-50F991624336

P2860

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

Item

http://www.wikidata.org/entity/Q36677128

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

@zh-cn

name

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

@ast

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

@en

type

Item

label

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

@ast

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

@en

prefLabel

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

@ast

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

@en

P1476

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics

@en

P2093

Eric Boerwinkle

http://www.w3.org/2001/XMLSchema#string

James B Potash

http://www.w3.org/2001/XMLSchema#string

Jianfei Huang

http://www.w3.org/2001/XMLSchema#string

Kai Wang

http://www.w3.org/2001/XMLSchema#string

Shizhong Han

http://www.w3.org/2001/XMLSchema#string

Xiangtao Liu

http://www.w3.org/2001/XMLSchema#string

Xiaoming Liu

http://www.w3.org/2001/XMLSchema#string

P2860

Finding the missing heritability of complex diseases

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Diverse genome-wide association studies associate the IL12/IL23 pathway with Crohn Disease

KEGG for representation and analysis of molecular networks involving diseases and drugs

PLINK: a tool set for whole-genome association and population-based linkage analyses

Principal components analysis corrects for stratification in genome-wide association studies

Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4

The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators

P304

919-929

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1534/GENETICS.115.185009

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

202

http://www.w3.org/2001/XMLSchema#string

P50

Peng Wei

Kai Tan

P577

2016-01-15T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

290611535

http://www.w3.org/2001/XMLSchema#string

P698

26773050

http://www.w3.org/2001/XMLSchema#string

P921

Amar

P932

4788129

http://www.w3.org/2001/XMLSchema#string

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

about

P2860

P2860

FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P5875

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P5875

P698

P921

P932