Papers: 10.1186/s12967-020-02387-9
https://doi.org/10.1186/s12967-020-02387-9
A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinoma
Cited by: 7
Author(s): Yimin Li, Shun Lü, Mei Lan, Xinhao Peng, Zijian Zhang, Jinyi Lang
Published: about 5 years ago
Software Mentions 8
bioconductor: survcomp
Performance Assessment and Comparison for Survival AnalysisPapers that mentioned: 117
Very Likely Science (100)
Very Likely Science (85)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear ModelsPapers that mentioned: 1,607
Very Likely Science (100)
Very Likely Science (75)
cran: survivalROC
Time-Dependent ROC Curve Estimation from Censored Survival DataPapers that mentioned: 479
Very Likely Science (75)
Very Likely Science (85)
pypi: co
Python library for making and tracking mutated copies of DNA componentsPapers that mentioned: 78
Likely Science (55)
Very Likely Science (100)