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: 10.3389/fcell.2021.677831
https://doi.org/10.3389/fcell.2021.677831
Identification of an Metabolic Related Risk Signature Predicts Prognosis in Cervical Cancer and Correlates With Immune Infiltration
Cited by: 11
Author(s): Chunliang Shang, Jiaming Huang, Hongyan Guo
Published: over 3 years ago