RnaSeqSampleSize: real data based sample size estimation for RNA sequencing
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
RnaSeqSampleSize: real data based sample size estimation for RNA sequencing
Authors
Keywords
RNA-Seq, Sample size, Power analysis, Simulation
Journal
BMC BIOINFORMATICS
Volume 19, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-05-30
DOI
10.1186/s12859-018-2191-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Orchestrating high-throughput genomic analysis with Bioconductor
- (2015) Wolfgang Huber et al. NATURE METHODS
- PROPER: comprehensive power evaluation for differential expression using RNA-seq
- (2014) Hao Wu et al. BIOINFORMATICS
- Robustly detecting differential expression in RNA sequencing data using observation weights
- (2014) Xiaobei Zhou et al. NUCLEIC ACIDS RESEARCH
- Power analysis and sample size estimation for RNA-Seq differential expression
- (2014) Travers Ching et al. RNA
- MitoSeek: extracting mitochondria information and performing high-throughput mitochondria sequencing analysis
- (2013) Yan Guo et al. BIOINFORMATICS
- RNA-seq differential expression studies: more sequence or more replication?
- (2013) Yuwen Liu et al. BIOINFORMATICS
- Scotty: a web tool for designing RNA-Seq experiments to measure differential gene expression
- (2013) Michele A. Busby et al. BIOINFORMATICS
- Sample size calculation based on exact test for assessing differential expression analysis in RNA-seq data
- (2013) Chung-I Li et al. BMC BIOINFORMATICS
- Calculating Sample Size Estimates for RNA Sequencing Data
- (2013) Steven N. Hart et al. JOURNAL OF COMPUTATIONAL BIOLOGY
- Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
- (2013) Franck Rapaport et al. GENOME BIOLOGY
- Statistical methods on detecting differentially expressed genes for RNA-seq data
- (2011) Zhongxue Chen et al. BMC Systems Biology
- Design and validation issues in RNA-seq experiments
- (2011) Z. Fang et al. BRIEFINGS IN BIOINFORMATICS
- Reactome: a database of reactions, pathways and biological processes
- (2010) D. Croft et al. NUCLEIC ACIDS RESEARCH
- 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
- RNA-Seq: a revolutionary tool for transcriptomics
- (2008) Zhong Wang et al. NATURE REVIEWS GENETICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More