标题
SimSeq: a nonparametric approach to simulation of RNA-sequence datasets
作者
关键词
-
出版物
BIOINFORMATICS
Volume 31, Issue 13, Pages 2131-2140
出版商
Oxford University Press (OUP)
发表日期
2015-02-28
DOI
10.1093/bioinformatics/btv124
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- subSeq: Determining Appropriate Sequencing Depth Through Efficient Read Subsampling
- (2014) David G. Robinson et al. BIOINFORMATICS
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts
- (2014) Charity W Law et al. GENOME BIOLOGY
- Error estimates for the analysis of differential expression from RNA-seq count data
- (2014) Conrad J. Burden et al. PeerJ
- A comparison of methods for differential expression analysis of RNA-seq data
- (2013) Charlotte Soneson et al. BMC BIOINFORMATICS
- Evaluating statistical analysis models for RNA sequencing experiments
- (2013) Pablo D. Reeb et al. Frontiers in Genetics
- A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis
- (2012) M.-A. Dillies et al. BRIEFINGS IN BIOINFORMATICS
- Modelling and simulating generic RNA-Seq experiments with the flux simulator
- (2012) Thasso Griebel et al. NUCLEIC ACIDS RESEARCH
- Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
- (2012) Davis J. McCarthy et al. NUCLEIC ACIDS RESEARCH
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
- (2011) Bo Li et al. BMC BIOINFORMATICS
- Evaluating Gene Expression in C57BL/6J and DBA/2J Mouse Striatum Using RNA-Seq and Microarrays
- (2011) Daniel Bottomly et al. PLoS One
- Finding consistent patterns: A nonparametric approach for identifying differential expression in RNA-Seq data
- (2011) Jun Li et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
- (2010) James H Bullard et al. BMC BIOINFORMATICS
- A Hidden Markov Model Approach to Testing Multiple Hypotheses on a Tree-Transformed Gene Ontology Graph
- (2010) Kun Liang et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- A scaling normalization method for differential expression analysis of RNA-seq data
- (2010) Mark D Robinson et al. GENOME BIOLOGY
- Differential expression analysis for sequence count data
- (2010) Simon Anders et al. GENOME BIOLOGY
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- fdrtool: a versatile R package for estimating local and tail area-based false discovery rates
- (2008) K. Strimmer BIOINFORMATICS
- A unified approach to false discovery rate estimation
- (2008) Korbinian Strimmer BMC BIOINFORMATICS
- Evaluating Statistical Methods Using Plasmode Data Sets in the Age of Massive Public Databases: An Illustration Using False Discovery Rates
- (2008) Gary L. Gadbury et al. PLoS Genetics
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