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Research Anthology on Machine Learning Techniques, Methods, and Applications(1)
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scopus(6)
Atom based linear index descriptors in QSAR-machine learning classifiers for the pbkp_rediction of ubiquitin-proteasome pathway activity
ArticleAbstract: Abstract: This report showed the use of the atom-based linear index together with different classicPalabras claves:Atom-based linear indices, Machine learning, QSAR, ToMoCoMD-CARDD software, Ubiquitin-proteasome pathway inhibitorsAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Thu H.L.T.Fuentes:scopusBeyond model interpretability using LDA and decision trees for α-amylase and α-glucosidase inhibitor classification studies
ArticleAbstract: In this report are used two data sets involving the main antidiabetic enzyme targets α-amylase and αPalabras claves:antidiabetic agents, Decision Trees, linear discriminant analysis, QSARAutores:Amilkar Puris, Gerardo M. Casañola-Martin, Karel Diéguez-Santana, Pham-The H., Rasulev B., Rivera-Borroto O.M., Thu H.L.T.Fuentes:scopusA simple method to pbkp_redict blood-brain barrier permeability of drug-like compounds using classification trees
ArticleAbstract: Background: To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challePalabras claves:blood-brain barrier, classification tree, molecular descriptor, Neuropharmaceuticals, Quantitative Structure-Activity Relationship, WEKAAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Stephen Jones Barigye, Thu H.L.T.Fuentes:scopusExploring different strategies for imbalanced ADME data problem: case study on Caco-2 permeability modeling
ArticleAbstract: In many absorption, distribution, metabolism, and excretion (ADME) modeling problems, imbalanced datPalabras claves:ADME modeling, Biopharmaceutics classification system, Caco-2 cell permeability, Cost-sensitive learning, Resampling technique, Support Vector MachineAutores:Bermejo M., Garrigues T., Gerardo M. Casañola-Martin, González-Álvarez I., Nguyen-Hai N., Pérez M.A.C., Pham-The H., Thu H.L.T.Fuentes:scopusMachine learning applications in nanomedicine and nanotoxicology: An overview
Book PartAbstract: The development of machine learning algorithms together with the availability of computational toolsPalabras claves:Autores:Gerardo M. Casañola-Martin, Pham-The H.Fuentes:scopusMachine learning-based models to pbkp_redict modes of toxic action of phenols to Tetrahymena pyriformis
ArticleAbstract: The phenols are structurally heterogeneous pollutants and they present a variety of modes of toxic aPalabras claves:Machine learning technique, mode of toxic action, molecular descriptor, phenol derivative, Pollutant, QSARAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Stephen Jones Barigye, Torreblanca A., Torrens F.Fuentes:scopus