Computational Intelligence Methods for Bioinformatics and Biostatistics (Paperback)

Martina Vettoretti

ISBN 10: 3031907132 / ISBN 13: 9783031907135

Verlag: Springer International Publishing AG, Cham, 2025

Beschreibung

Paperback. The book constitutes the refereed post-conference proceedings of the 18th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2023, held in Padova, Italy, during September 68, 2023.The 23 full papers presented in these proceedings were carefully reviewed and selected from 24 submissions. They focuses on topics such as machine learning in healthcare informatics and medical biology; machine learning explainability in medical imaging; prediction uncertainty in machine learning; advanced statistical and computational methodologies for single-cell omics data; present and future research in bioinformatics; distributed computing in bioinformatics and computational biology; and modelling and simulation methods for computational biology and systems medicine. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Bestandsnummer des Verkäufers 9783031907135

Bibliografische Details

• Titel: Computational Intelligence Methods for Bioinformatics and Biostatistics (Paperback)
• Verlag: Springer International Publishing AG, Cham
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-10: 3031907132
• ISBN-13: 9783031907135
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

The book constitutes the refereed post-conference proceedings of the 18th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2023, held in Padova, Italy, during September 6–8, 2023.

The 23 full papers presented in these proceedings were carefully reviewed and selected from 24 submissions. They focuses on topics such as machine learning in healthcare informatics and medical biology; machine learning explainability in medical imaging; prediction uncertainty in machine learning; advanced statistical and computational methodologies for single-cell omics data; present and future research in bioinformatics; distributed computing in bioinformatics and computational biology; and modelling and simulation methods for computational biology and systems medicine.