Cargando…
XML-CIMT: Explainable Machine Learning (XML) Model for Predicting Chemical-Induced Mitochondrial Toxicity
Organ toxicity caused by chemicals is a serious problem in the creation and usage of chemicals such as medications, insecticides, chemical products, and cosmetics. In recent decades, the initiation and development of chemical-induced organ damage have been related to mitochondrial dysfunction, among...
Autores principales: | Jaganathan, Keerthana, Rehman, Mobeen Ur, Tayara, Hilal, Chong, Kil To |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779353/ https://www.ncbi.nlm.nih.gov/pubmed/36555297 http://dx.doi.org/10.3390/ijms232415655 |
Ejemplares similares
-
An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors
por: Jaganathan, Keerthana, et al.
Publicado: (2022) -
Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets
por: Jaganathan, Keerthana, et al.
Publicado: (2021) -
Learning XML
por: Ray, Erik T
Publicado: (2003) -
Learning XML
por: Ray, Erik T
Publicado: (2001) -
XML data management: native XML and XML-enabled database systems
por: Chaudhri, Akmal B, et al.
Publicado: (2003)