Chi-MIC-share: a new feature selection algorithm for quantitative structure–activity relationship models

Quantitative structure–activity relationship models are used in toxicology to predict the effects of organic compounds on aquatic organisms. Common filter feature selection methods use correlation statistics to rank features, but this approach considers only the correlation between a single feature...

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Detalles Bibliográficos
Autores principales: Li, Yuting, Dai, Zhijun, Cao, Dan, Luo, Feng, Chen, Yuan, Yuan, Zheming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054197/
https://www.ncbi.nlm.nih.gov/pubmed/35520405
http://dx.doi.org/10.1039/d0ra00061b

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054197/
https://www.ncbi.nlm.nih.gov/pubmed/35520405
http://dx.doi.org/10.1039/d0ra00061b

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