10.1093/bib/bbv069 | Papers | Ecosyste.ms: Papers

Papers: 10.1093/bib/bbv069

Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline

Cited by: 45
Author(s): Yasir Rahmatallah, Frank Emmert‐Streib, Galina Glazko
Published: almost 10 years ago

Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568

Very Likely Science (100)

Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893

Very Likely Science (100)

Linear Models for Microarray Data
Papers that mentioned: 7,776

Very Likely Science (78)

Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing
Papers that mentioned: 18

Very Likely Science (100)

Gene Set Analysis
Papers that mentioned: 285

Very Likely Science (93)

Source code analysis of Python programs
Papers that mentioned: 2,036

Very Likely Science (90)

Python Package to implement Gravitational Search Algorithm. Documentation at:https://github.com/deepanshu1999/GSA
Papers that mentioned: 285

Very Likely Science (90)

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)