"FAVA: high-quality functional association networks inferred from scRNA-seq ..."

Mikaela Koutrouli et al. (2024)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTAE010

access: open

type: Journal Article

metadata version: 2024-06-08

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/KoutrouliNLBRMJ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/KoutrouliNLBRMJ24
Mikaela Koutrouli, Katerina C. Nastou, Pau Piera Líndez, Robbin Bouwmeester, Simon Rasmussen, Lennart Martens, Lars Juhl Jensen:
FAVA: high-quality functional association networks inferred from scRNA-seq and proteomics data. Bioinform. 40(2) (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.