Model certainty in cellular network-driven processes with missing data
Mathematical models are often used to explore network-driven cellular processes from a systems perspective. However, a dearth of quantitative data suitable for model calibration leads to models with parameter unidentifiability and questionable predictive power. Here we introduce a combined Bayesian...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |