A small-sample multivariate kernel machine test for microbiome association studies.

about

A fast small-sample kernel independence test for microbiome community-level association analysis.Computational profiling of the gut-brain axis: microflora dysbiosis insights to neurological disorders.Inference on phenotype-specific effects of genes using multivariate kernel machine regression.

P2860

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P2860

A small-sample multivariate kernel machine test for microbiome association studies.

Item

http://www.wikidata.org/entity/Q36233311

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

A small-sample multivariate kernel machine test for microbiome association studies.

@ast

A small-sample multivariate kernel machine test for microbiome association studies.

@en

type

Item

label

A small-sample multivariate kernel machine test for microbiome association studies.

@ast

A small-sample multivariate kernel machine test for microbiome association studies.

@en

prefLabel

A small-sample multivariate kernel machine test for microbiome association studies.

@ast

A small-sample multivariate kernel machine test for microbiome association studies.

@en

P1476

A small-sample multivariate kernel machine test for microbiome association studies.

@en

P2093

Jun Chen

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

Ni Zhao

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

Xiang Zhan

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

Xingwei Tong

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

P2860

Linking long-term dietary patterns with gut microbial enterotypes

A core gut microbiome in obese and lean twins

UniFrac: a new phylogenetic method for comparing microbial communities.

The human microbiome project

A metagenome-wide association study of gut microbiota in type 2 diabetes

Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics data.

Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models

Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models.

Disordered microbial communities in the upper respiratory tract of cigarette smokers.

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

P304

210-220

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P31

scholarly article

P356

10.1002/GEPI.22030

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

P433

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

P478

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

P50

Michael C Wu

Arnab Maity

P577

2016-12-26T00:00:00Z

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

P698

28019040

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

P921

microbiome

A small-sample multivariate kernel machine test for microbiome association studies.

about

P2860

P2860

A small-sample multivariate kernel machine test for microbiome association studies.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P921

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P921