A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
about
From RNA-seq reads to differential expression resultsDifferential Expression Analysis for RNA-Seq: An Overview of Statistical Methods and Computational SoftwareIdentification of Differentially Expressed Genes in RNA-seq Data of Arabidopsis thaliana: A Compound Distribution ApproachRNA Sequencing and AnalysisEvaluating statistical analysis models for RNA sequencing experiments.SIBER: systematic identification of bimodally expressed genes using RNAseq dataA robust method for transcript quantification with RNA-seq data.eQTL Mapping Using RNA-seq DataDifferential gene expression analysis using coexpression and RNA-Seq data.NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq dataStatistical and Computational Methods for High-Throughput Sequencing Data Analysis of Alternative Splicing.Sample size calculation for differential expression analysis of RNA-seq data under Poisson distribution.Accounting for biases in riboprofiling data indicates a major role for proline in stalling translation.WemIQ: an accurate and robust isoform quantification method for RNA-seq data.DGEclust: differential expression analysis of clustered count data.Estimation of isoform expression in RNA-seq data using a hierarchical Bayesian model.Modeling Exon-Specific Bias Distribution Improves the Analysis of RNA-Seq DataEstimation of sparse directed acyclic graphs for multivariate counts data.Directional RNA-seq reveals highly complex condition-dependent transcriptomes in E. coli K12 through accurate full-length transcripts assembling.A two-step integrated approach to detect differentially expressed genes in RNA-Seq data.RNA-Seq Count Data Modelling by Grey Relational Analysis and Nonparametric Gaussian ProcessAn integrative method to normalize RNA-Seq data.Accurate quantification of transcriptome from RNA-Seq data by effective length normalization.voom: Precision weights unlock linear model analysis tools for RNA-seq read counts.Improving RNA-Seq expression estimates by correcting for fragment bias.Modeling bias and variation in the stochastic processes of small RNA sequencing.Autoantigen discovery with a synthetic human peptidome.IsoformEx: isoform level gene expression estimation using weighted non-negative least squares from mRNA-Seq data.RseqFlow: workflows for RNA-Seq data analysis.Normalization, testing, and false discovery rate estimation for RNA-sequencing dataOverview of available methods for diverse RNA-Seq data analyses.MATS: a Bayesian framework for flexible detection of differential alternative splicing from RNA-Seq data.Evaluation of normalization methods in mammalian microRNA-Seq data.Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data.A bi-Poisson model for clustering gene expression profiles by RNA-seqPower analysis and sample size estimation for RNA-Seq differential expression.Universal count correction for high-throughput sequencing.The complex transcriptional landscape of the anucleate human platelet.Identification of novel reference genes based on MeSH categories.The genetic basis of rapidly evolving male genital morphology in Drosophila
P2860
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P2860
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
@ast
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
@en
type
label
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
@ast
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
@en
prefLabel
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
@ast
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
@en
P2860
P356
P1476
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
@en
P2093
Liang Chen
Sudeep Srivastava
P2860
P356
10.1093/NAR/GKQ670
P407
P577
2010-07-29T00:00:00Z