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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s12915-021-01002-7

https://doi.org/10.1186/s12915-021-01002-7

A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants

Cited by: 12
Author(s): Jean-Philippe Villemin, Claudio Lorenzi, Marie-Sarah Cabrillac, Andrew Oldfield, William Ritchie, Reini F. Luco
Published: over 4 years ago

Software Mentions 6

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
cran: Boruta
Wrapper Algorithm for All Relevant Feature Selection
Papers that mentioned: 192
Very Likely Science (93)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: Boruta
Python Implementation of Boruta Feature Selection
Papers that mentioned: 192
Very Likely Science (80)
pypi: package
package is a package to package your package
Papers that mentioned: 1,300
Very Likely Science (65)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)