Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Computational Intelligence Methods for Bioinformatics and Biostatistics

17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Davide Chicco

    1. University of Toronto, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Angelo Facchiano

    1. Consiglio Nazionale delle Ricerche, Avellino, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Erica Tavazzi

    1. Università di Padova, Padua, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Enrico Longato

    1. Università di Padova, Padua, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Martina Vettoretti

    1. Università di Padova, Padua, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Anna Bernasconi

    1. Politecnico di Milano, Milan, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Simone Avesani

    1. Università di Verona, Verona, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  8. Paolo Cazzaniga

    1. Università di Bergamo, Bergamo, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13483)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: CIBB 2021.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book constitutes revised selected papers from the 17th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2021, which was held virtually during November 15–17, 2021.

The 19 papers included in these proceedings were carefully reviewed and selected from 26 submissions, and they focus on bioinformatics, computational biology, health informatics, cheminformatics, biotechnology, biostatistics, and biomedical imaging.

Similar content being viewed by others

Keywords

Table of contents (19 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Chemical Neural Networks and Synthetic Cell Biotechnology: Preludes to Chemical AI

    • Pasquale Stano
    Pages 1-12

  3. Development of Bayesian Network for Multiple Sclerosis Risk Factor Interaction Analysis

    • Morghan Hartmann, Norman Fenton, Ruth Dobson
    Pages 13-24

  4. Real-Time Automatic Plankton Detection, Tracking and Classification on Raw Hologram

    • Romane Scherrer, Rodrigue Govan, Thomas Quiniou, Thierry Jauffrais, Hugues Lemonnier, Sophie Bonnet et al.
    Pages 25-39

  5. The First in-silico Model of Leg Movement Activity During Sleep

    • Matteo Italia, Andrea Danani, Fabio Dercole, Raffaele Ferri, Mauro Manconi
    Pages 40-52

  6. Transfer Learning and Magnetic Resonance Imaging Techniques for the Deep Neural Network-Based Diagnosis of Early Cognitive Decline and Dementia

    • Nitsa J. Herzog, George D. Magoulas
    Pages 53-66

  7. Improving Bacterial sRNA Identification By Combining Genomic Context and Sequence-Derived Features

    • Mohammad Sorkhian, Megha Nagari, Moustafa Elsisy, Lourdes Peña-Castillo
    Pages 67-78

  8. High-Dimensional Multi-trait GWAS By Reverse Prediction of Genotypes Using Machine Learning Methods

    • Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel
    Pages 79-93

  9. A Non-Negative Matrix Tri-Factorization Based Method for Predicting Antitumor Drug Sensitivity

    • Carolina Testa, Sara Pidò, Pietro Pinoli
    Pages 94-104

  10. A Rule-Based Approach for Generating Synthetic Biological Pathways

    • Joshua Thompson, Haoyu Dong, Kai Liu, Fei He, Mihail Popescu, Dong Xu
    Pages 105-116

  11. Machine Learning Classifiers Based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer’s Disease Using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data

    • Lilia Lazli
    Pages 117-131

  12. Text Mining Enhancements for Image Recognition of Gene Names and Gene Relations

    • Yijie Ren, Fei He, Jing Qu, Yifan Li, Joshua Thompson, Mark Hannink et al.
    Pages 132-142

  13. Sentence Classification to Detect Tables for Helping Extraction of Regulatory Interactions in Bacteria

    • Dante Sepúlveda, Joel Rodríguez-Herrera, Alfredo Varela-Vega, Axel Zagal Norman, Carlos-Francisco Méndez-Cruz
    Pages 143-157

  14. RF-Isolation: A Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification

    • Antonella Mensi, Simona Schiavi, Maria Petracca, Nicole Graziano, Alessandro Daducci, Matilde Inglese et al.
    Pages 158-169

  15. Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models

    • Hao Chi Kiang, Krzysztof Bartoszek, Sebastian Sakowski, Stefano Maria Iacus, Michele Vespe
    Pages 170-184

  16. Explainable AI Models for COVID-19 Diagnosis Using CT-Scan Images and Clinical Data

    • Aicha Boutorh, Hala Rahim, Yassmine Bendoumia
    Pages 185-199

  17. The Need of Standardised Metadata to Encode Causal Relationships: Towards Safer Data-Driven Machine Learning Biological Solutions

    • Beatriz Garcia Santa Cruz, Carlos Vega, Frank Hertel
    Pages 200-216

  18. Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences

    • Lisa C. Crossman
    Pages 217-226

  19. Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data

    • Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos
    Pages 227-241

  20. Soft Brain Ageing Indicators Based on Light-Weight LeNet-Like Neural Networks and Localized 2D Brain Age Biomarkers

    • Francesco Bardozzo, Mattia Delli Priscoli, Andrea Gerardo Russo, Davide Crescenzi, Ugo Di Benedetto, Fabrizio Esposito et al.
    Pages 242-252
Back to top

Other volumes

  1. Computational Intelligence Methods for Bioinformatics and Biostatistics

Editors and Affiliations

  • University of Toronto, Toronto, Canada

    Davide Chicco

  • Consiglio Nazionale delle Ricerche, Avellino, Italy

    Angelo Facchiano

  • Università di Padova, Padua, Italy

    Erica Tavazzi, Enrico Longato, Martina Vettoretti

  • Politecnico di Milano, Milan, Italy

    Anna Bernasconi

  • Università di Verona, Verona, Italy

    Simone Avesani

  • Università di Bergamo, Bergamo, Italy

    Paolo Cazzaniga

Bibliographic Information

  • Book Title: Computational Intelligence Methods for Bioinformatics and Biostatistics

  • Book Subtitle: 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers

  • Editors: Davide Chicco, Angelo Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi, Simone Avesani, … Paolo Cazzaniga

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-20837-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-20836-2Published: 26 November 2022

  • eBook ISBN: 978-3-031-20837-9Published: 25 November 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XV, 253

  • Number of Illustrations: 19 b/w illustrations, 76 illustrations in colour

  • Topics: Bioinformatics, Data Mining and Knowledge Discovery, Signal, Image and Speech Processing, Computer Communication Networks, Machine Learning, Computer Applications

Publish with us

Policies and ethics

Back to top

Search

Navigation