KIMI: Knockoff Inference for Motif Identification from molecular sequences with controlled false discovery rate is a research paper published in Bioinformatics (2020). On theSindex it has a DataRank of 0. It has been cited 5 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
NIGMS NIH HHS
Grant: R01 GM131407
US National Institutes of Health
Grant: R01GM120624
US National Institutes of Health
Grant: 1R01GM131407
National Institutes of Health
Grant: 3R01GM120624-02S2
Computational Studies of Virus-host Interactions Using Metagenomics Data and Applications
National Institutes of Health
Grant: 1R01GM131407-01
Adaptive Reproducible High-Dimensional Nonlinear Inference for Big Biological Data
Fields of Study
MeSH Terms
Keywords