https://doi.org/10.7490/f1000research.1117063.1
Poster
NOT PEER REVIEWED
Download
metrics
VIEWS
140
 
downloads
17
CITE
How to cite this poster:
Rodríguez-Mier P, Poupin N, Le Cam L and Jourdan F. Ignoring the optimal set of tissue-specific metabolic networks can bias the intepretation of data [version 1; not peer reviewed]. F1000Research 2019, 8:1114 (poster) (https://doi.org/10.7490/f1000research.1117063.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Ignoring the optimal set of tissue-specific metabolic networks can bias the intepretation of data

Pablo Rodríguez-Mier1, Nathalie Poupin, Laurent Le Cam, Fabien Jourdan
Author Affiliations
  • Metrics
  • 140 Views
  • 17 Downloads
Browse by related subjects
Published 17 Jul 2019

Ignoring the optimal set of tissue-specific metabolic networks can bias the intepretation of data

[version 1; not peer reviewed]

Pablo Rodríguez-Mier1, Nathalie Poupin, Laurent Le Cam, Fabien Jourdan
Author Affiliations
1 INRA Toxalim, France
Presented at
Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM) Annual Symposium 2019
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Genome scale metabolic network, constraint-based modeling, metabolism, cancer
Comments
0 Comments
 
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.