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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Bibliographic Details
Published in:	PLoS computational biology Vol. 21; no. 7; p. e1013337
Main Authors:	Degnan, David J., Bramer, Lisa M., Truong, Lisa, Tanguay, Robyn L., Gosline, Sara M., Waters, Katrina M.
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science (PLoS) 28.07.2025 Public Library of Science
Subjects:	Animals Benchmarking Biology and Life Sciences bmdrc python library Computational Biology - methods Computer and Information Sciences Dose-Response Relationship, Drug Environmental Exposure Medicine and Health Sciences Mice Phenotype Research and Analysis Methods Social Sciences Software Superfund United States Environmental Protection Agency Zebrafish
ISSN:	1553-7358, 1553-734X, 1553-7358
Online Access:	Get full text
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