Computational Intelligence Methods for Bioinformatics and Biostatistics: 18th International Meeting, CIBB 2023, Padova, Italy, September 6–8, 2023, ... (Lecture Notes in Computer Science, 14513)

Computational Intelligence Methods for Bioinformatics and Biostatistics:18th International Meeting, CIBB 2023, Padova, Italy, September 6–8, 2023, ... (Lecture Notes in Computer Science, 14513)

Computational Intelligence Methods for Bioinformatics and Biostatistics:18th International Meeting, CIBB 2023, Padova, Italy, September 6–8, 2023, ... (Lecture Notes in Computer Science, 14513)

by: Martina Vettoretti (Editor), Erica Tavazzi (Editor), Enrico Longato (Editor), Giacomo Baruzzo (Editor), Massimo Bellato (Editor)

Publisher: Springer

Publication Date: 2025-05-13

Language: English

Print Length: 351 pages

ISBN-10: 3031907132

ISBN-13: 9783031907135

Book Description

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.

Editorial Reviews

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.

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