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

Papers: 10.1186/s12859-021-04340-z

https://doi.org/10.1186/s12859-021-04340-z

Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction

Cited by: 4
Author(s): Christian Staerk, Andreas Mayr
Published: almost 4 years ago

Software Mentions 5

cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: glmnetUtils
Utilities for 'Glmnet'
Papers that mentioned: 3
Very Likely Science (75)
cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)