Comparing T cell receptor repertoires using optimal transport is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0. It has been cited 9 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.
National Institutes of Health
Grant: R01 AI146028
National Institutes of Health
Grant: U19 AI117891
National Institutes of Health
Grant: R01 AI121832
National Institutes of Health
Grant: R01 AI136514
National Institutes of Health
Grant: U01 AI150747
National Institutes of Health
Grant: R35 GM141457, R01 AI146028
National Institutes of Health
Grant: R01 AI146028, U19 AI117891
Howard Hughes Medical Institute
Grant: Faculty Scholar grant
NIGMS NIH HHS
Grant: R35 GM141457
National Institutes of Health
Grant: 5R01AI121832-03
A protective role for gamma delta T cells in respiratory infection
National Institutes of Health
Grant: 5U19AI117891-02
Dynamics and Evolution of Immune Responses to Influenza Viruses
National Institutes of Health
Grant: 5R35GM141457-06
Molecular modeling and machine learning for protein structures and interactions
National Institutes of Health
Grant: 1U01AI150747-01
DYNAMICS AND EVOLUTION OF IMMUNE RESPONSES TO INFLUENZA VIRUSES
National Institutes of Health
Grant: 5R01AI146028-02
Blending deep learning with probabilistic mechanistic models to predict and understand the evolution and function of adaptive immune receptors
National Institutes of Health
Grant: 5R01AI136514-05
Decoding the interactions between T cell receptors and peptide-MHC
Simons Foundation
American Lebanese Syrian Associated Charities at St. Jude
FWCI
0.45
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords