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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 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)
cran: factoextra
Extract and Visualize the Results of Multivariate Data Analyses
Papers that mentioned: 650
Very Likely Science (85)
cran: FactoMineR
Multivariate Exploratory Data Analysis and Data Mining
Papers that mentioned: 1,101
Very Likely Science (85)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
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)