Error estimates for the analysis of differential expression from RNA-seq count data.
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Integrative Transcriptome Profiling of Cognitive Aging and Its Preservation through Ser/Thr Protein Phosphatase RegulationDetecting Differentially Expressed Genes with RNA-seq Data Using Backward Selection to Account for the Effects of Relevant Covariates.RNA-seq mixology: designing realistic control experiments to compare protocols and analysis methodsSimSeq: a nonparametric approach to simulation of RNA-sequence datasets.An automated RNA-Seq analysis pipeline to identify and visualize differentially expressed genes and pathways in CHO cells.In-Depth Duodenal Transcriptome Survey in Chickens with Divergent Feed Efficiency Using RNA-Seq.De Novo Transcriptome Analysis for Kentucky Bluegrass Dwarf Mutants Induced by Space Mutation.Analysis of sucrose-induced small RNAs in Streptococcus mutans in the presence of different sucrose concentrations.Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm.A Novel FC116/BC10 Mutation Distinctively Causes Alteration in the Expression of the Genes for Cell Wall Polymer Synthesis in Rice.Towards next generation CHO cell biology: Bioinformatics methods for RNA-Seq-based expression profiling.RNA-Seq analysis on chicken taste sensory organs: An ideal system to study organogenesis.How many biological replicates are needed in an RNA-seq experiment and which differential expression tool should you use?From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipelineA broken promise: microbiome differential abundance methods do not control the false discovery rate.Optimization of an RNA-Seq Differential Gene Expression Analysis Depending on Biological Replicate Number and Library Size.Cancer-predicting transcriptomic and epigenetic signatures revealed for ulcerative colitis in patient-derived epithelial organoids.Gene Co-expression Analysis Indicates Potential Pathways and Regulators of Beef Tenderness in Nellore Cattle
P2860
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P2860
Error estimates for the analysis of differential expression from RNA-seq count data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
@yue
2014年論文
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2014年論文
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2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
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name
Error estimates for the analysis of differential expression from RNA-seq count data.
@ast
Error estimates for the analysis of differential expression from RNA-seq count data.
@en
type
label
Error estimates for the analysis of differential expression from RNA-seq count data.
@ast
Error estimates for the analysis of differential expression from RNA-seq count data.
@en
prefLabel
Error estimates for the analysis of differential expression from RNA-seq count data.
@ast
Error estimates for the analysis of differential expression from RNA-seq count data.
@en
P2860
P356
P1433
P1476
Error estimates for the analysis of differential expression from RNA-seq count data.
@en
P2093
Sumaira E Qureshi
P2860
P356
10.7717/PEERJ.576
P577
2014-09-23T00:00:00Z