Predicting differentially methylated cytosines in TET and DNMT3 knockout mutants via a large language model is a research paper published in Briefings in Bioinformatics (2025). On theSindex it has a DataRank of 0.
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US National Institutes of Health
Grant: 1R01AI169543-01
Rapid response for pandemics: single cell sequencing and deep learning to predict antibody sequences against an emerging antigen
US National Science Foundation
Grant: 2225878
Collaborative Research: Data-driven engineering of the thermotolerant yeast Kluyveromyces marxianus
US National Science Foundation
Grant: 244456
NIAID NIH HHS
Grant: R01 AI169543
FWCI
0.00
Citation Percentile
0.0%
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