Machine Learning Approaches in Computational Toxicology Studies

Book Part

Abstract: In the present world, the use of computational toxicity assessment techniques is highly encouraged a

Palabras claves:

classification, Clustering, computational toxicity, Decision Trees, deep learning, Dimensionality reduction, hierarchical clustering, K-Means, K-nearest neighbor, linear discriminant analysis, linear regression, logistic regression, Machine learning, Naïve Bayes, neural network, Principal Component Analysis, QSAR, random forest, regression, semi-supervised, Supervised, SUPPORT VECTOR MACHINES, unsupervised

Autores:

Ambure P., Gozalbes R., Stephen Jones Barigye

Fuentes:

scopus