Differential expression analysis for sequence count data
نویسندگان
چکیده
منابع مشابه
How to normalize metatranscriptomic count data for differential expression analysis
BACKGROUND Differential expression analysis on the basis of RNA-Seq count data has become a standard tool in transcriptomics. Several studies have shown that prior normalization of the data is crucial for a reliable detection of transcriptional differences. Until now it has not been clear whether and how the transcriptomic approach can be used for differential expression analysis in metatranscr...
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متن کاملStatistical Computing 2011 Abstracts Der 43. Arbeitstagung Statistical Computing 2011 Workshop Program Differential Expression Analysis for Sequence Count Data
Stefanie Hieke (Freiburg) Min P-test: a resampling based gene region-level testing procedure for genetic case-control studies implemented in R 09:30-10:00 Michel Lang (Dortmund) Survival models with preclustered gene groups as covariates 10:00-10:30 Aslihan Gerhold-Ay (Mainz) Evaluation and validation of gene expression signatures for prognostic use in negative breast cancer patients Khalid Abn...
متن کاملTitle Tcc: Differential Expression Analysis for Tag Count Data with Robust Normalization Strategies
December 22, 2016 Type Package Title TCC: Differential expression analysis for tag count data with robust normalization strategies Version 1.14.0 Author Jianqiang Sun, Tomoaki Nishiyama, Kentaro Shimizu, and Koji Kadota Maintainer Jianqiang Sun , Tomoaki Nishiyama Description This package provides a series of functions for performing ...
متن کاملPackage 'tcc' Title Tcc: Differential Expression Analysis for Tag Count Data with Robust Normalization Strategies
April 26, 2017 Type Package Title TCC: Differential expression analysis for tag count data with robust normalization strategies Version 1.16.0 Author Jianqiang Sun, Tomoaki Nishiyama, Kentaro Shimizu, and Koji Kadota Maintainer Jianqiang Sun , Tomoaki Nishiyama Description This package provides a series of functions for performing dif...
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ژورنال
عنوان ژورنال: Genome Biology
سال: 2010
ISSN: 1474-760X
DOI: 10.1186/gb-2010-11-10-r106