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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.pone.0250282

https://doi.org/10.1371/journal.pone.0250282

Understanding interactions between risk factors, and assessing the utility of the additive and multiplicative models through simulations

Cited by: 5
Author(s): Lina-Marcela Diaz-Gallo, Boel Brynedal, Helga Westerlind, Rickard Sandberg, Daniel Ramsköld
Published: over 4 years ago

Software Mentions 6

pypi: geneview
Geneview: A python package for genomics data visualization.
Papers that mentioned: 3
Very Likely Science (100)
pypi: jupyter
Jupyter metapackage. Install all the Jupyter components in one go.
Papers that mentioned: 39
Very Likely Science (90)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
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: seaborn
Statistical data visualization
Papers that mentioned: 283
Very Likely Science (100)