Advances in modeling cellular state dynamics: integrating omics data and predictive techniques
Dynamic modeling of cellular states has emerged as a pivotal approach for understanding complex biological processes such as cell differentiation, disease progression, and tissue development. This review provides a comprehensive overview of current approaches for modeling cellular state dynamics, fo...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Animal Cells and Systems |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19768354.2024.2449518 |
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