An omnibus test for differential distribution analysis of microbiome sequencing data.

about

GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data.Predictive Modeling of Microbiome Data Using a Phylogeny-Regularized Generalized Linear Mixed Model.

P2860

Q52599473-E753EB13-D680-4285-B372-35EEA077F982 Q55711827-321CEB0E-7DA5-4973-9EC8-1F6DC612C591

P2860

An omnibus test for differential distribution analysis of microbiome sequencing data.

Item

http://www.wikidata.org/entity/Q42695965

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

@zh-cn

name

An omnibus test for differential distribution analysis of microbiome sequencing data.

@en

An omnibus test for differential distribution analysis of microbiome sequencing data.

@nl

type

Item

label

An omnibus test for differential distribution analysis of microbiome sequencing data.

@en

An omnibus test for differential distribution analysis of microbiome sequencing data.

@nl

prefLabel

An omnibus test for differential distribution analysis of microbiome sequencing data.

@en

An omnibus test for differential distribution analysis of microbiome sequencing data.

@nl

P1476

An omnibus test for differential distribution analysis of microbiome sequencing data.

@en

P2093

Diane Grill

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

Jun Chen

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

Karla Ballman

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

Oliver Stegle

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

Rebecca Deek

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

Yue Yu

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

P2860

Differential expression analysis for sequence count data

Linking long-term dietary patterns with gut microbial enterotypes

A core gut microbiome in obese and lean twins

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Structure-constrained sparse canonical correlation analysis with an application to microbiome data analysis

Waste not, want not: why rarefying microbiome data is inadmissible

Robustly detecting differential expression in RNA sequencing data using observation weights.

Assessment and Selection of Competing Models for Zero-Inflated Microbiome Data.

P304

643-651

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

P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTX650

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

P407

English

P433

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

P478

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

P50

Zhi Wei

Emily A King

P577

2017-10-12T00:00:00Z

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

P698

29040451

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

P921

microbiome

An omnibus test for differential distribution analysis of microbiome sequencing data.

about

P2860

P2860

An omnibus test for differential distribution analysis of microbiome sequencing data.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P921

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P921