Artificial Intelligence in Bioinformatics
From Omics Analysis to Deep Learning and Network Mining

Essential compendium on Artificial Intelligence methods that includes a deep review on how these methods are incorporated in bioinformatics

Mario Cannataro (Author), Pietro Hiram Guzzi (Author), Giuseppe Agapito (Author), Chiara Zucco (Author), Marianna Milano (Author)

9780128229521, Elsevier Science

Paperback, published 18 May 2022

268 pages, Approx. 100 illustrations (100 in full color)
23.5 x 19 x 1.8 cm, 0.54 kg

Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining 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.

PART 1 ARTIFICIAL INTELLIGENCE: METHODS 1. Knowledge Representation and Reasoning 2. Machine Learning 3. Artificial Intelligence 4. Data Science 5. Deep Learning 6. Explainability of AI methods 7. Intelligent Agents

Subject Areas: Medical bioinformatics [MBF]