Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity
Cellular heterogeneity is a ubiquitous aspect of biology and a major obstacle to successful cancer treatment. Several techniques have emerged to quantify heterogeneity in live cells along axes including cellular migration, morphology, growth, and signaling. Crucially, these studies reveal that cellu...
| Hauptverfasser: | , , , , , , , , , , |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Frontiers Media S.A.
2024-03-01
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| Schriftenreihe: | Frontiers in Systems Biology |
| Schlagworte: | |
| Online Zugang: | https://www.frontiersin.org/articles/10.3389/fsysb.2024.1333760/full |