Computational Intelligence Methods for Bioinformatics and Biostatistics : 18th International Meeting, CIBB 2023, Padova, Italy, September 6-8, 2023, Revised Selected Papers

Martina Vettoretti

ISBN 10: 3031907132 / ISBN 13: 9783031907135

Published by Springer Nature Switzerland, Springer Nature Switzerland, 2025

About this Item

Druck auf Anfrage Neuware - Printed after ordering - The book constitutes the refereed post-conference proceedings of the 18th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics,CIBB2023, 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.

Seller Inventory # 9783031907135

Bibliographic Details

• Title: Computational Intelligence Methods for Bioinformatics and Biostatistics : 18th International Meeting, CIBB 2023, Padova, Italy, September 6-8, 2023, Revised Selected Papers
• Publisher: Springer Nature Switzerland, Springer Nature Switzerland
• Publication Date: 2025
• Language: English
• ISBN 10: 3031907132
• ISBN 13: 9783031907135
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.