G2PDeep-v2: a web-based deep-learning framework for phenotype prediction and biomarker discovery using multi-omics data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.
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National Science Foundation
Grant: 2232889
CICI: UCSS: Trusted Resource Allocation in Volunteer Edge-Cloud Computing Workflows
National Institutes of Health
Grant: 5R35GM126985-04
Interpretable and extendable deep learning model for biological sequence analysis and prediction
NIGMS NIH HHS
Grant: R35 GM126985
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