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Papers: 10.3390/cancers12123799

https://doi.org/10.3390/cancers12123799

A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data

Cited by: 11
Author(s): Filippo Valle, Matteo Osella, Michele Caselle
Published: over 5 years ago

Software Mentions 8

bioconductor: graph
graph: A package to handle graph data structures
Papers that mentioned: 45
Very Likely Science (90)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
pypi: cox
Tools for Experiment Logging
Papers that mentioned: 40
Very Likely Science (100)
pypi: figshare
Command-line client for figshare API
Papers that mentioned: 103
Very Likely Science (65)
pypi: graph
Directed and undirected graph data structures and algorithms.
Papers that mentioned: 45
Very Likely Science (90)
pypi: lifelines
Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
Papers that mentioned: 39
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)