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

Papers: 10.1038/s41598-017-02365-0

https://doi.org/10.1038/s41598-017-02365-0

CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods

Cited by: 120
Author(s): Li Zhang, Haixin Ai, Wen Chen, Zimo Yin, Huan Hu, Jü Zhu, Zhao Jian, Qi Zhao, Huan Liu
Published: about 8 years ago

Software Mentions 7

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
Very Likely Science (85)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: Extreme
It's just a name snipe.
Papers that mentioned: 277
Very Likely Science (65)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)