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Artificial Intelligence in Bioinformatics

From Omics Analysis to Deep Learning and Network Mining

  • 1st Edition - May 12, 2022
  • Authors: Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Agapito, Chiara Zucco, Marianna Milano
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 2 2 9 5 2 - 1
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 2 2 9 2 9 - 3

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… Read more

Artificial Intelligence in Bioinformatics

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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.