Utvidet returrett til 31. januar 2025

Artificial Intelligence in Bioinformatics

- From Omics Analysis to Deep Learning and Network Mining

Om Artificial Intelligence in Bioinformatics

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.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780128229521
  • Bindende:
  • Paperback
  • Sider:
  • 268
  • Utgitt:
  • 18. mai 2022
  • Dimensjoner:
  • 234x189x18 mm.
  • Vekt:
  • 548 g.
  • BLACK NOVEMBER
  På lager
Leveringstid: 4-7 virkedager
Forventet levering: 11. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Artificial Intelligence in Bioinformatics

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.

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