"R.ROSETTA: an interpretable machine learning framework."

Mateusz Garbulowski et al. (2021)

> Home

Details and statistics

DOI: 10.1186/S12859-021-04049-Z

access: open

type: Journal Article

metadata version: 2022-12-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bmcbi/GarbulowskiDSBS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bmcbi/GarbulowskiDSBS21
Mateusz Garbulowski, Klev Diamanti, Karolina Smolinska, Nicholas Baltzer, Patricia Stoll, Susanne Bornelöv, Aleksander Øhrn, Lars Feuk, Jan Komorowski:
R.ROSETTA: an interpretable machine learning framework. BMC Bioinform. 22(1): 110 (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.