Computational methods for predicting post-translational modification sites
Éditeur :
Springer-Verlag New York Inc.
ISBN :
9781071623169
Date de publication :
14 juin 2022
Dimensions :
25,4 x 17,8 cm
Langue :
Anglais
Pays d'origine :
USA
Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features.