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

Papers: 10.3390/jpm11030188

https://doi.org/10.3390/jpm11030188

Telomere Length Dynamics and Chromosomal Instability for Predicting Individual Radiosensitivity and Risk via Machine Learning

Cited by: 8
Author(s): Jared J. Luxton, Miles J. McKenna, Aidan Lewis, Lynn E. Taylor, Sameer Jhavar, Gregory P. Swanson, Susan M. Bailey
Published: over 4 years ago

Software Mentions 3

pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: statsmodels
Statistical computations and models for Python
Papers that mentioned: 277
Very Likely Science (90)