Hypothesis-based interpretability for high-dimensional models of T cell signaling — NSF Award to University of California-Irvine (
Living cells receive signals from other cells and process this information to make decisions and take actions. One example is provided by immune cells processing information about other cells to decide whether to mount an immune response. Decades of mathematics have revealed how parts of this information processing sys
| Award title | Hypothesis-based interpretability for high-dimensional models of T cell signaling |
|---|---|
| Award ID | 2602179 |
| Awardee | University of California-Irvine |
| City | IRVINE |
| State | CA |
| Amount obligated | $465,777 |
| Principal investigator | Jun Allard |
| Program | MATHEMATICAL BIOLOGY |
| Start date | 07/01/2026 |
| Abstract | Living cells receive signals from other cells and process this information to make decisions and take actions. One example is provided by immune cells processing information about other cells to decide whether to mount an immune response. Decades of mathematics have revealed how parts of this information processing system work, but the insights were limited by the mathematical technology of the time. Recent artificial intelligence and machine learning methods have powerful abilities to predict h |
| Source | NSF Awards |
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