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Integrative Bioinformatics for Biomedical Big Data

A No-Boundary Thinking Approach

Integrative Bioinformatics for Biomedical Big Data
Integrative Bioinformatics for Biomedical Big Data

Integrative Bioinformatics for Biomedical Big Data

A No-Boundary Thinking Approach

Hardback / gebonden | Engels
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Omschrijving

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).

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).

Specificaties

  • Uitgever
    Cambridge University Press
  • Verschenen
    sep. 2023
  • Bladzijden
    180
  • Genre
    Computationele biologie / bio-informatica
  • Gewicht
    413 gram
  • EAN
    9781107114302
  • Hardback / gebonden
    Hardback / gebonden
  • Taal
    Engels