Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling
Abstract Pharmacometric modeling can capture tumor growth inhibition (TGI) dynamics and variability. These approaches do not usually consider covariates in high‐dimensional settings, whereas high‐dimensional molecular profiling technologies ("omics") are being increasingly considered for p...
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| Main Authors: | , , , , , , |
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| Format: | Book |
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Wiley,
2021-04-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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