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Integrative Bioinformatics for Biomedical Big Data: A No-Boundary Thinking Approach - Rilegato

 
9781107114302: Integrative Bioinformatics for Biomedical Big Data: A No-Boundary Thinking Approach
Rilegato
ISBN 10: 1107114306 ISBN 13: 9781107114302
Casa editrice: Cambridge University Press, 2023

Sinossi

Explains the value of no-boundary thinking (NBT) in biological and biomedical research in helping to define impactful research questions.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sugli autori

Xiuzhen Huang is currently Professor and Research Scientist of the Department of Computational Biomedicine at Cedars-Sinai Medical Center, USA. Before joining Cedars-Sinai Medical Center fall 2022, Xiuzhen was Professor in Computer Science at Arkansas State University for eighteen years. She founded the Arkansas Artificial Intelligence Campus (Arkansas AI-Campus). She also initiated the National AI-Campus, a landing project with No-Boundary Thinking. She completed her doctorate degree in computer science at Texas A&M University (2004).

Jason H. Moore is Chair of the Department of Computational Biomedicine at Cedars-Sinai Medical Center (USA) where he also leads the Center for Artificial Intelligence Research and Education (CAIRE). He is a biomedical informaticist with a focus on AI and machine learning methodology for the study of human health. He has contributed to more than 600 publications in journals and books spanning the clinical and translational sciences, basic sciences, and data science and bioinformatics. He also serves as Editor-in-Chief of the journal BioData Mining. He is an elected Fellow of the American College of Medical Informatics and the American Statistical Association.

Yu Zhang is Professor and Chair of the Department of Computer Science at Trinity University (USA). She is Editor-in-Chief of the International Journal of Agent Technologies and Systems and is in the editorial board of the SCS Transaction of Simulation. Her research falls within Agent-Based Modeling and Simulation. She received the Outstanding Service Award of the Society for Modeling and Simulation International (2013), Trinity Distinguish Junior Faculty Award (2008), Best Paper Award of the IEEE Region 5 Student Paper Competition (2008), and the IEEE Central Texas Chapter Service Recognition (2007).

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Editore
Cambridge University Press
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
1107114306
ISBN 13 
9781107114302
Rilegatura
Copertina rigida
Numero di pagine
182
Redattore
Huang Xiuzhen, Moore Jason H., Zhang Yu
Contatto del produttore
non disponibile
Persona responsabile
Avery
https://www.avery.fr/

chemin des peupliers 27
Dardilly
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