MoDeSuS: A Machine Learning Tool for Selection of Molecular Descriptors in QSAR Studies Applied to Molecular Informatics

The selection of the most relevant molecular descriptors to describe a target variable in the context of QSAR (Quantitative Structure-Activity Relationship) modelling is a challenging combinatorial optimization problem. In this paper, a novel software tool for addressing this task in the context of...

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Detalles Bibliográficos
Autores principales: Martínez, María Jimena, Razuc, Marina, Ponzoni, Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398071/
https://www.ncbi.nlm.nih.gov/pubmed/30906770
http://dx.doi.org/10.1155/2019/2905203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398071/
https://www.ncbi.nlm.nih.gov/pubmed/30906770
http://dx.doi.org/10.1155/2019/2905203

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