An optimal test with maximum average power while controlling FDR with application to RNA-seq data.
about
Dispersion estimation and its effect on test performance in RNA-seq data analysis: a simulation-based comparison of methodsShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs.A Semi-parametric Bayesian Approach for Differential Expression Analysis of RNA-seq Data.NBLDA: negative binomial linear discriminant analysis for RNA-Seq data.RNA-Seq Count Data Modelling by Grey Relational Analysis and Nonparametric Gaussian ProcessLeptomonas seymouri: Adaptations to the Dixenous Life Cycle Analyzed by Genome Sequencing, Transcriptome Profiling and Co-infection with Leishmania donovani.
P2860
An optimal test with maximum average power while controlling FDR with application to RNA-seq data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
An optimal test with maximum a ...... h application to RNA-seq data.
@ast
An optimal test with maximum a ...... h application to RNA-seq data.
@en
type
label
An optimal test with maximum a ...... h application to RNA-seq data.
@ast
An optimal test with maximum a ...... h application to RNA-seq data.
@en
prefLabel
An optimal test with maximum a ...... h application to RNA-seq data.
@ast
An optimal test with maximum a ...... h application to RNA-seq data.
@en
P2860
P356
P1433
P1476
An optimal test with maximum a ...... h application to RNA-seq data.
@en
P2093
P2860
P304
P356
10.1111/BIOM.12036
P407
P577
2013-07-26T00:00:00Z