Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Symbolic kinetic models in python (SKiMpy): intuitive modeling of ..."

Daniel Weilandt et al. (2023)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTAC787

access: closed

type: Journal Article

metadata version: 2024-03-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/WeilandtSMFDHH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/WeilandtSMFDHH23
Daniel Weilandt, Pierre Salvy, Maria Masid, Georgios Fengos, Robin Denhardt-Erikson, Zhaleh Hosseini, Vassily Hatzimanikatis:
Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models. Bioinform. 39(1) (2023)

a service of

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.