eMB: Multi-task biologically informed neural networks for learning dynamical systems from — NSF Award to North Carolina State Univ
A fundamental unanswered biological question with biomedical and industrial relevance is how cells integrate external information from multiple biochemical pathways to enter and exit quiescence in response to stress. Non-destructive measurements of single-cell protein expression in yeast cells have revealed that signal
| Award title | eMB: Multi-task biologically informed neural networks for learning dynamical systems from |
|---|---|
| Award ID | 2424748 |
| Awardee | North Carolina State University |
| City | RALEIGH |
| State | NC |
| Amount obligated | $324,829 |
| Principal investigator | Kevin Flores |
| Program | GVF - Global Venture Fund, MATHEMATICAL BIOLOGY |
| Start date | 09/01/2024 |
| Abstract | A fundamental unanswered biological question with biomedical and industrial relevance is how cells integrate external information from multiple biochemical pathways to enter and exit quiescence in response to stress. Non-destructive measurements of single-cell protein expression in yeast cells have revealed that signaling in quiescence-related biochemical pathways can be highly heterogeneous across genetically identical cell populations as they transition into dormancy, even though they are trea |
| Source | NSF Awards |
$799/mo
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