SimiC enables the inference of complex gene regulatory dynamics across cell phenotypes is a research paper published in Communications Biology (2022). On theSindex it has a DataRank of 0. It has been cited 17 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
EC | Horizon 2020 Framework Programme
Grant: MSCA IF 898356
NICHD NIH HHS
Grant: R21 HD104039
NIBIB NIH HHS
Grant: T32 EB019944
NHLBI NIH HHS
Grant: R01 HL126845
NIAAA NIH HHS
Grant: R01 AA010154
European Commission
Grant: 898356
Elucidating transcriptional rewiring on hematological malignancies via computational methods
National Institutes of Health
Grant: 2R01AA010154-29A1
TNF alpha and Recovery from Alcoholic Liver Injury
National Institutes of Health
Grant: 3T32EB019944-03S1
Tissue microenvironment (TiMe) training program
National Institutes of Health
Grant: 5R01HL126845-07
Post-transcriptional mechanisms of gene regulation in cardiac cell growth and development
Fields of Study
MeSH Terms
Keywords
ClonalKinetic Data and Intermediate Results of SimiC
Synthetic datasets for SimiC