Artificial Intelligence In Bioinformatics Av Mario (Professor Of Computer Engineering University Magna Graecia Of Catanzaro Catanzaro Italy) Cannataro

<p><i>Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining</i> reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more.</p><br><br><ul><li>Bridges the gap between computer science and bioinformatics, combining an introduction to Artificial Intelligence methods with a systematic review of its applications in the life s