bmdrc: Python package for quantifying phenotypes from chemical exposures with benchmark dose modeling
Though chemical exposures are known to potentially have negative impacts on health, including contributing to chronic diseases such as cancer, the quantitative contribution of risk is not fully understood for every chemical. A commonly used approach to quantify levels of risk is to measure the propo...
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| Veröffentlicht in: | PLoS computational biology Jg. 21; H. 7; S. e1013337 |
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| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
Public Library of Science (PLoS)
28.07.2025
Public Library of Science |
| Schlagworte: | |
| ISSN: | 1553-7358, 1553-734X, 1553-7358 |
| Online-Zugang: | Volltext |
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