Influence of socioeconomic status on the whole blood transcriptome in African Americans.

about

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

Item

http://www.wikidata.org/entity/Q47103360

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

@en

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

@nl

type

Item

label

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

@en

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

@nl

prefLabel

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

@en

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

@nl

P1476

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

@en

P2093

Charles Barry

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

Gary H Gibbons

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

Rakale Quarells

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

Sharon K Davis

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

P2860

Human social genomics

WGCNA: an R package for weighted correlation network analysis

Random Forests

Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1

A scaling normalization method for differential expression analysis of RNA-seq data

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

Essential involvement of interleukin-8 (IL-8) in acute inflammation

Are subordinates always stressed? a comparative analysis of rank differences in cortisol levels among primates

Shared principles in NF-kappaB signaling

limma powers differential expression analyses for RNA-sequencing and microarray studies

P304

e0187290

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

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0187290

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

Amadou Gaye

P577

2017-12-05T00:00:00Z

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

P698

29206834

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

P921

socioeconomics

transcriptome

P932

5716587

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