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PROPER

R package PROPER: PROspective Power Evaluation for RNAseq. This package provide simulation based methods for evaluating the statistical power in differential expression analysis from RNA-seq data.

Keywords for this software

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  • RNA-seq
  • sequence alignment
  • exploratory analysis
  • genome contact interaction enrichment analysis
  • generalized linear models
  • NGS-QC
  • GSNAP
  • BEDOPS
  • oligonucleotide arrays
  • cell specific regulatory code
  • power calculation
  • meta-analysis
  • sample size calculation
  • GMAP
  • genomic ranges
  • differential expression analysis
  • experimental design
  • next generation sequencing
  • gene expression omnibus
  • WEKA
  • ChiP-seq
  • visualizing genomic data
  • machine learning
  • large scale DNAseq data
  • edgeR
  • R/Bioconductor
  • cancer genome atlas (TCGA)
  • Gviz

  • URL: www.bioconductor.org/p...
  • InternetArchive
  • Authors: Hao Wu
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 2 articles )

Showing results 1 to 2 of 2.
y Sorted by year (citations)

  1. Li, Chung-I; Shyr, Yu: Sample size calculation based on generalized linear models for differential expression analysis in RNA-seq data (2016)
  2. Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)

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