clusterProfiler

Bioconductor/R package clusterProfiler: statistical analysis and visualization of functional profiles for genes and gene clusters. This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.

Keywords for this software

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References in zbMATH (referenced in 8 articles )

Showing results 1 to 8 of 8.
Sorted by year (citations)

  1. Wang, Qiang; Yu, Xia; Gong, Mingzhi: Single-cell transcriptome analysis reveals the importance of IRF1/FSTL1 in synovial fibroblast subsets for the development of rheumatoid arthritis (2022)
  2. Moran, Gemma E.; Ročková, Veronika; George, Edward I.: Spike-and-slab Lasso biclustering (2021)
  3. Wang, Meng; Jiang, Lihua; Snyder, Michael P.: AdaReg: data adaptive robust estimation in linear regression with application in GTEx gene expressions (2021)
  4. Li, Jinyu; Lai, Yutong; Zhang, Chi; Zhang, Qi: TGCnA: temporal gene coexpression network analysis using a low-rank plus sparse framework (2020)
  5. Yifei Zhang, Jia Cao: GSimPy: A Python package for measuring group similarity (2020) not zbMATH
  6. Kuan-Hao Chao, Yi-Wen Hsiao, Yi-Fang Lee, Chien-Yueh Lee, Liang-Chuan Lai, Mong-Hsun Tsai, Tzu-Pin Lu, Eric Y. Chuang: RNASeqR: an R package for automated two-group RNA-Seq analysis workflow (2019) arXiv
  7. Yu, Xinghao; Xiao, Lishun; Zeng, Ping; Huang, Shuiping: Jackknife model averaging prediction methods for complex phenotypes with gene expression levels by integrating external pathway information (2019)
  8. Wolff, Alexander: Analysis of expression profile and gene variation via development of methods for next generation sequencing data (2018)