Papers: 10.3390/cancers11101606

https://doi.org/10.3390/cancers11101606

A Toolbox for Functional Analysis and the Systematic Identification of Diagnostic and Prognostic Gene Expression Signatures Combining Meta-Analysis and Machine Learning

Cited by: 12
Author(s): Johannes A Vey, Lorenz A. Kapsner, Maximilian Fuchs, Philipp Unberath, Giulia Veronesi, Meik Kunz
Published: almost 7 years ago

Software Mentions 8

bioconductor: Biobase
Biobase: Base functions for Bioconductor
Papers that mentioned: 104
Very Likely Science (75)
bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: gcrma
Background Adjustment Using Sequence Information
Papers that mentioned: 186
Very Likely Science (73)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: pathview
a tool set for pathway based data integration and visualization
Papers that mentioned: 144
Very Likely Science (100)
cran: gplots
Various R Programming Tools for Plotting Data
Papers that mentioned: 2,122
Very Likely Science (85)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
cran: survminer
Drawing Survival Curves using 'ggplot2'
Papers that mentioned: 1,473
Very Likely Science (75)