标题
Beta-Poisson model for single-cell RNA-seq data analyses
作者
关键词
-
出版物
BIOINFORMATICS
Volume 32, Issue 14, Pages 2128-2135
出版商
Oxford University Press (OUP)
发表日期
2016-04-20
DOI
10.1093/bioinformatics/btw202
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。- Inferring single-cell gene expression mechanisms using stochastic simulation
- (2015) Bernie J. Daigle et al. BIOINFORMATICS
- Single-cell polyadenylation site mapping reveals 3' isoform choice variability
- (2015) L. Velten et al. Molecular Systems Biology
- HTSeq--a Python framework to work with high-throughput sequencing data
- (2014) S. Anders et al. BIOINFORMATICS
- Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms
- (2014) Rob Patro et al. NATURE BIOTECHNOLOGY
- Bayesian approach to single-cell differential expression analysis
- (2014) Peter V Kharchenko et al. NATURE METHODS
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts
- (2014) Charity W Law et al. GENOME BIOLOGY
- Stochastic models of transcription: From single molecules to single cells
- (2013) Alvaro Sanchez et al. METHODS
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
- (2013) Alex K. Shalek et al. NATURE
- Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments
- (2013) Quin F Wills et al. NATURE BIOTECHNOLOGY
- Quantitative assessment of single-cell RNA-sequencing methods
- (2013) Angela R Wu et al. NATURE METHODS
- Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
- (2013) Simon Anders et al. Nature Protocols
- The Reactome pathway knowledgebase
- (2013) David Croft 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
- Distinct perturbation of the translatome by the antidiabetic drug metformin
- (2012) O. Larsson et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
- (2010) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- Analytical distributions for stochastic gene expression
- (2008) V. Shahrezaei et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now