Papers: 10.1186/s12967-021-02894-3
https://doi.org/10.1186/s12967-021-02894-3
Identification of immune subtypes of cervical squamous cell carcinoma predicting prognosis and immunotherapy responses
Cited by: 8
Author(s): Yimin Li, Shun Lü, Shubin Wang, Xinhao Peng, Jinyi Lang
Published: about 4 years ago
Software Mentions 14
bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics dataPapers that mentioned: 2,223
Very Likely Science (75)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq dataPapers that mentioned: 893
Very Likely Science (100)
Very Likely Science (78)
Very Likely Science (100)
cran: factoextra
Extract and Visualize the Results of Multivariate Data AnalysesPapers that mentioned: 650
Very Likely Science (85)
cran: FactoMineR
Multivariate Exploratory Data Analysis and Data MiningPapers that mentioned: 1,101
Very Likely Science (85)
Very Likely Science (85)
Very Likely Science (100)
cran: NMF
Algorithms and Framework for Nonnegative Matrix Factorization (NMF)Papers that mentioned: 108
Very Likely Science (100)
Very Likely Science (75)
Very Likely Science (95)
Very Likely Science (85)
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)