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Artificial intelligence in bioinformatics : from omics analysis to deep learning and network mining /

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 incorpor...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Cannataro, Mario, 1964- (Autor), Guzzi, Pietro Hiram, 1980- (Autor), Agapito, Giuseppe, 1978- (Autor), Zucco, Chiara (Autor), Milano, Marianna (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, [2022]
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Artificial intelligence in bioinformatics :  |b from omics analysis to deep learning and network mining /  |c Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Agapito, Chiara Zucco, Marianna Milano. 
264 1 |a Amsterdam, Netherlands :  |b Elsevier,  |c [2022] 
264 4 |c �2022 
300 |a 1 online resource (xix, 247 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
336 |a still image  |b sti  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a 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 -- 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 -- Appendix A: Python code examples -- Appendix B: Java code examples. 
520 |a 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.--  |c Provided by publisher. 
588 0 |a Print version record. 
650 0 |a Bioinformatics. 
650 0 |a Artificial intelligence  |x Biological applications. 
650 6 |a Bio-informatique.  |0 (CaQQLa)201-0313075 
650 6 |a Intelligence artificielle  |x Applications biologiques.  |0 (CaQQLa)201-0368615 
650 7 |a Artificial intelligence  |x Biological applications  |2 fast  |0 (OCoLC)fst00817250 
650 7 |a Bioinformatics  |2 fast  |0 (OCoLC)fst00832181 
700 1 |a Cannataro, Mario,  |d 1964-  |e author.  |1 https://isni.org/isni/0000000038669229 
700 1 |a Guzzi, Pietro Hiram,  |d 1980-  |e author.  |1 https://isni.org/isni/0000000118010707 
700 1 |a Agapito, Giuseppe,  |d 1978-  |e author. 
700 1 |a Zucco, Chiara,  |e author. 
700 1 |a Milano, Marianna,  |e author. 
776 0 8 |i Print version:  |t Artificial intelligence in bioinformatics.  |d Amsterdam : Elsevier, [2022]  |z 9780128229521  |w (OCoLC)1328025903 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128229521  |z Texto completo