Machine Learning and Multi-omics Network Approaches to Predict Protein Functions in Arabid — NSF Award to Clemson University (SC,
Artificial intelligence (AI) is the simulation of intelligence using advanced computer algorithms on diverse large-scale datasets including finance, healthcare, consumer and market science, cybersecurity, and transportation. Recently, AI has been emerging as a prominent tool for biological data analyses including assis
| Award title | Machine Learning and Multi-omics Network Approaches to Predict Protein Functions in Arabid |
|---|---|
| Award ID | 2514459 |
| Awardee | Clemson University |
| City | CLEMSON |
| State | SC |
| Amount obligated | $377,732 |
| Principal investigator | Shahid Mukhtar |
| Program | Plant-Biotic Interactions |
| Start date | 10/01/2024 |
| Abstract | Artificial intelligence (AI) is the simulation of intelligence using advanced computer algorithms on diverse large-scale datasets including finance, healthcare, consumer and market science, cybersecurity, and transportation. Recently, AI has been emerging as a prominent tool for biological data analyses including assisting with medical diagnostics as well as the detection of disease-related mutations in genetics and genomics. We aim to employ AI to improve and refine gene functional annotations |
| Source | NSF Awards |
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