"Unsupervised protein embeddings outperform hand-crafted sequence and ..."

Amelia Villegas-Morcillo et al. (2021)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTAA701

access: open

type: Journal Article

metadata version: 2021-06-01

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/Villegas-Morcillo21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/Villegas-Morcillo21
Amelia Villegas-Morcillo, Stavros Makrodimitris, Roeland C. H. J. van Ham, Angel M. Gomez, Victoria E. Sánchez, Marcel J. T. Reinders:
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function. Bioinform. 37(2): 162-170 (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.