Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
about
Meta-analysis based on weighted ordered P-values for genomic data with heterogeneity.Comparison of reprogramming genes in induced pluripotent stem cells and nuclear transfer cloned embryos.A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification.An Application of Sequential Meta-Analysis to Gene Expression Studies.
P2860
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@ast
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@en
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@nl
type
label
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@ast
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@en
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@nl
prefLabel
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@ast
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@en
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@nl
P2860
P356
P1433
P1476
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data.
@en
P2093
Debashis Ghosh
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS037
P407
P577
2012-01-27T00:00:00Z