Full Description
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.
Contents
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
PART 2 ARTIFICIAL INTELLIGENCE: BIOINFORMATICS
8. Sequence Analysis
9. Structure Analysis
10. Omics Sciences
11. Ontologies in Bioinformatics
12. Integrative Bioinformatics
13. Biological Networks Analysis
14. Biological Pathway Analysis
15. Knowledge Extraction from Biomedical Texts
16. Artificial Intelligence in Bioinformatics: Issues and Challenges
