Differential expression analysis for RNAseq using Poisson mixed models.
about
Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits.Non-parametric genetic prediction of complex traits with latent Dirichlet process regression models.Association testing of bisulfite-sequencing methylation data via a Laplace approximation.Higher-order partial least squares for predicting gene expression levels from chromatin states.VIPER: variability-preserving imputation for accurate gene expression recovery in single-cell RNA sequencing studies
P2860
Differential expression analysis for RNAseq using Poisson mixed models.
description
2017 nî lūn-bûn
@nan
2017 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի մարտին հրատարակված գիտական հոդված
@hy
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
name
Differential expression analysis for RNAseq using Poisson mixed models.
@ast
Differential expression analysis for RNAseq using Poisson mixed models.
@en
type
label
Differential expression analysis for RNAseq using Poisson mixed models.
@ast
Differential expression analysis for RNAseq using Poisson mixed models.
@en
prefLabel
Differential expression analysis for RNAseq using Poisson mixed models.
@ast
Differential expression analysis for RNAseq using Poisson mixed models.
@en
P2093
P2860
P356
P1476
Differential expression analysis for RNAseq using Poisson mixed models.
@en
P2093
Jenny Tung
Laura Scott
Michelle Hood
Qinke Peng
Sayan Mukherjee
Shiquan Sun
Xiang Zhou
P2860
P356
10.1093/NAR/GKX204
P407
P577
2017-03-29T00:00:00Z