Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1186/s12885-021-08647-1
https://doi.org/10.1186/s12885-021-08647-1
Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma
Cited by: 12
Author(s): Meng-Xiang Li, Xiaomeng Sun, Weigang Cheng, Han‐Li Ruan, Ke Liu, Ci Pan, Hai-Jun Xu, Shegan Gao, Xiaoshan Feng, Yi-Jun Qi
Published: over 3 years ago
Software Mentions 5
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU WienPapers that mentioned: 419
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear ModelsPapers that mentioned: 296