"An uncertainty-based interpretable deep learning framework for predicting ..."

Hua Chai et al. (2024)

> Home

Details and statistics

DOI: 10.1186/S12859-024-05716-7

access: open

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bmcbi/ChaiLLHYOZ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bmcbi/ChaiLLHYOZ24
Hua Chai, Siyin Lin, Junqi Lin, Minfan He, Yuedong Yang, Yongzhong OuYang, Huiying Zhao:
An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome. BMC Bioinform. 25(1): 88 (2024)

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.