JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites is a research paper published in Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 23 times.
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National Science Foundation
Grant: NSF-DGE-1829071
National Science Foundation
Grant: NSF-IIS-2031187
National Institutes of Health
Grant: NIH-R35-HL135772
NHLBI NIH HHS
Grant: R35 HL135772
National Institutes of Health
Grant: 5R35HL135772-07
Omics Phenotyping for Identifying Molecular Signatures of the Healthy and Failing Heart: An Integrated Data Science Platform
National Science Foundation
Grant: 1829071
NRT-HDR: Modeling and Understanding Human Behavior: Harnessing Data from Genes to Social Networks
National Science Foundation
Grant: 2031187
RAPID: Dynamic Graph Neural Networks for Modeling and Monitoring COVID-19 Pandemic
FWCI
1.63
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Prediction of Back-splicing sites for CircRNA formation based on convolutional neural networks
Additional file 1 of Prediction of Back-splicing sites for CircRNA formation based on convolutional neural networks
Additional file 2 of Prediction of Back-splicing sites for CircRNA formation based on convolutional neural networks
Additional file 2 of Prediction of Back-splicing sites for CircRNA formation based on convolutional neural networks