Papers: 10.1038/srep15563

https://doi.org/10.1038/srep15563

Novel Monte Carlo approach quantifies data assemblage utility and reveals power of integrating molecular and clinical information for cancer prognosis

Cited by: 0
Author(s): Wim Verleyen, Simon P. Langdon, Dana Faratian, David J. Harrison, V. Anne Smith
Published: almost 11 years ago

Software Mentions 2

cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)