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

Papers: 10.1186/s13321-017-0209-z

https://doi.org/10.1186/s13321-017-0209-z

SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines

Cited by: 195
Author(s): Tong He, Marten Heidemeyer, Fuqiang Ban, Artem Cherkasov, Martin Ester
Published: over 8 years ago

Software Mentions 3

cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: libmf
python bindings to libmf
Papers that mentioned: 1
Very Likely Science (80)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)