Paper
Paper
Search...
Search ResearchHub...
Ctrl+K
New
Home
Browse
Earn
Fund
RH Journal
Notebook
Lists
Leaderboard
RSC
USD
Changelog
Terms
Privacy
Issues
Docs
Support
Foundation
About
Unfolding and de-confounding: biologically meaningful cau... | ResearchHub
Paper
Paper
Search...
Search ResearchHub...
Ctrl+K
New
Home
Browse
Earn
Fund
RH Journal
Notebook
Lists
Leaderboard
RSC
USD
Changelog
Terms
Privacy
Issues
Docs
Support
Foundation
About
Unfolding and de-confounding: biologically meaningful causal inference from longitudinal multi-omic networks using METALICA
0
Authors
Daniel Ruiz-Perez
4 more
Daniel Ruiz-Perez
•
Isabella Gimon
2 more
•
Giri Narasimhan
Published
September 6, 2024
Paper
Conversation
0
Reviews
0
Bounties
0
Sign in to comment
Add a comment...
Best
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
mSystems
Topics
Biology
Bioinformatics
Computer Science
Mathematics
Economics
Show all topics
DOI
10.1128/msystems.01303-23
License
CC-BY
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
mSystems
Topics
Biology
Bioinformatics
Computer Science
Mathematics
Economics
Show all topics
DOI
10.1128/msystems.01303-23
License
CC-BY
