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

Papers: 10.1371/journal.pcbi.1006813

https://doi.org/10.1371/journal.pcbi.1006813

Predicting kinase inhibitors using bioactivity matrix derived informer sets

Cited by: 9
Author(s): Huikun Zhang, Spencer S. Ericksen, Ching-pei Lee, Gene E. Ananiev, Nathan Wlodarchak, Peng Yu, Julie C. Mitchell, Anthony Gitter, Stephen J. Wright, F. Michael Hoffmann, Scott A. Wildman, Michael A. Newton
Published: almost 6 years ago

Software Mentions 2

pypi: kmeans
python wrapper for basic c implementation of kmeans
Papers that mentioned: 62
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)