"ECMarker: interpretable machine learning model identifies gene expression ..."

Ting Jin et al. (2021)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTAA935

access: open

type: Journal Article

metadata version: 2023-09-12

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/JinNTW21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/JinNTW21
Ting Jin, Nam D. Nguyen, Flaminia Talos, Daifeng Wang:
ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages. Bioinform. 37(8): 1115-1124 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.