Papers: 10.1155/2021/8859996
https://doi.org/10.1155/2021/8859996
Potential Prognostic Biomarkers of Lung Adenocarcinoma Based on Bioinformatic Analysis
Cited by: 17
Author(s): Jili Hou, Yong Cheng
Published: over 4 years ago
Software Mentions 8
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)
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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)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of GraphicsPapers that mentioned: 11,441
Very Likely Science (100)
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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)