Computational Intelligence Methods for Bioinformatics and Biostatistics

1. Front Matter

   Pages i-xv

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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

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.

• artificial intelligence
• biostatistics
• computational and systems biology
• computer networks
• computer systems
• computer vision
• correlation analysis
• data mining
• education
• image analysis
• image processing
• image segmentation
• learning
• machine learning
• neural networks
• pattern recognition
• signal processing

• 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

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