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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ji, Chao, Weissmann, Andrew, Shao, Kan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934139/
https://www.ncbi.nlm.nih.gov/pubmed/35151117
http://dx.doi.org/10.1016/j.envint.2022.107135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934139/
https://www.ncbi.nlm.nih.gov/pubmed/35151117
http://dx.doi.org/10.1016/j.envint.2022.107135

Ejemplares similares