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

Papers: 10.1371/journal.pcbi.1008126

https://doi.org/10.1371/journal.pcbi.1008126

Ten simple rules to power drug discovery with data science

Cited by: 10
Author(s): Enrico Ferrero, Sophie Brachat, Jeremy L. Jenkins, Philippe Marc, Peter Skewes-Cox, Robert C. Altshuler, Caroline Gubser Keller, Audrey Kauffmann, Erik K Sassaman, Jason M. Laramie, Birgit Schoeberl, Mark Borowsky, Nikolaus Stiefl
Published: almost 5 years ago

Software Mentions 9

cran: lattice
Trellis Graphics for R
Papers that mentioned: 251
Very Likely Science (85)
cran: mlr
Machine Learning in R
Papers that mentioned: 64
Very Likely Science (100)
cran: tidyverse
Easily Install and Load the 'Tidyverse'
Papers that mentioned: 1,023
Very Likely Science (100)
pypi: lattice
A framework for developing data models, including schema development and documentation.
Papers that mentioned: 251
Very Likely Science (80)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Papers that mentioned: 64
Likely Science (40)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
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: table
Two-dimensional tables backed by Numpy with named rows and columns.
Papers that mentioned: 48
Very Likely Science (65)