Incorporation of subject-level covariates in quantile normalization of miRNA data.
about
A comparison of multiple testing adjustment methods with block-correlation positively-dependent testsUrinary microRNA-based signature improves accuracy of detection of clinically relevant prostate cancer within the prostate-specific antigen grey zone.Identifying factors associated with the direction and significance of microRNA tumor-normal expression differences in colorectal cancer.
P2860
Incorporation of subject-level covariates in quantile normalization of miRNA data.
description
2015 nî lūn-bûn
@nan
2015 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Incorporation of subject-level covariates in quantile normalization of miRNA data.
@ast
Incorporation of subject-level covariates in quantile normalization of miRNA data.
@en
type
label
Incorporation of subject-level covariates in quantile normalization of miRNA data.
@ast
Incorporation of subject-level covariates in quantile normalization of miRNA data.
@en
prefLabel
Incorporation of subject-level covariates in quantile normalization of miRNA data.
@ast
Incorporation of subject-level covariates in quantile normalization of miRNA data.
@en
P2093
P2860
P1433
P1476
Incorporation of subject-level covariates in quantile normalization of miRNA data.
@en
P2093
Anvar Suyundikov
Christopher Corcoran
John R Stevens
Roger K Wolff
P2860
P2888
P356
10.1186/S12864-015-2199-4
P407
P577
2015-12-09T00:00:00Z
P5875
P6179
1035626444