A computational system for Bayesian benchmark dose estimation of genomic data in BBMD

A computational system for Bayesian benchmark dose estimation of genomic data in BBMD

Background: Existing studies have revealed that the benchmark dose (BMD) estimates from short-term in vivo transcriptomics studies can approximate those from long-term guideline toxicity assessments. Existing software applications follow this trend by analyzing omics data through the maximum likelih...

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Bibliographic Details
Main Authors: Chao Ji, Andrew Weissmann, Kan Shao
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Environment International
Subjects:
Benchmark dose
Genomic data
Bayesian
BBMD
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412022000617

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http://www.sciencedirect.com/science/article/pii/S0160412022000617

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