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Papers: 10.1186/s13040-017-0125-9

https://doi.org/10.1186/s13040-017-0125-9

Gene set analysis controlling for length bias in RNA-seq experiments

Cited by: 7
Author(s): Xing Ren, Qiang Hu, Song Liu, Jianmin Wang, Jeffrey C. Miecznikowski
Published: over 8 years ago

Software Mentions 9

bioconductor: CAMERA
Collection of annotation related methods for mass spectrometry data
Papers that mentioned: 429
Very Likely Science (75)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: SeqGSEA
Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing
Papers that mentioned: 18
Very Likely Science (100)
cran: GSA
Gene Set Analysis
Papers that mentioned: 285
Very Likely Science (93)
pypi: GSA
Python Package to implement Gravitational Search Algorithm. Documentation at:https://github.com/deepanshu1999/GSA
Papers that mentioned: 285
Very Likely Science (90)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.
Papers that mentioned: 893
Very Likely Science (100)
pypi: TopHat
TopHat Platform
Papers that mentioned: 5,017
Very Likely Science (90)