Machine learning methods for multi-omics data integration
Éditeur :
Springer International Publishing AG
ISBN :
9783031365041
Date de publication :
14 nov. 2024
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
It covers different types of learning for supervised and unsupervised learning techniques, including standard classifiers, deep learning, tensor factorization, ensemble learning, and clustering, among others.