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Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023)

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Miguel Rocha

    1. Centro de Engenharia Biológica, Universidade de Vigo, Braga, Portugal

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  2. Florentino Fdez-Riverola

    1. Computer Science Department, University of Minho, Vigo, Spain

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  3. Mohd Saberi Mohamad

    1. Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates

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  4. Ana Belén Gil-González

    1. University of Salamanca, Salamanca, Spain

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  • Covers latest research on practical applications of computational biology and bioinformatics
  • Results of the 17th International Conference on Practical Applications of Computational Biology & Bioinformatics
  • Discusses applications of computational intelligence with an interdisciplinary character

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 743)

Included in the following conference series:

Conference proceedings info: PACBB 2024.

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About this book

This book aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, bioinformatics, chemoinformatics, and systems biology. The success of bioinformatics in recent years has been prompted by research in molecular biology and molecular medicine in several initiatives. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. The PACBB’23 technical program has selected 9 full papers in the main track and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the program committee, national associations (AEPIA, APPIA), and the sponsors (AIR Institute).

Keywords

Table of contents (10 papers)

  1. Front Matter

    Pages i-xii
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  2. Main Track

    1. Front Matter

      Pages 1-1
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    2. The Impact of Schizophrenia Misdiagnosis Rates on Machine Learning Models Performance

      • Daniel Martins, Conceição Egas, Joel P. Arrais
      Pages 3-13

    3. Deep Learning and Transformers in MHC-Peptide Binding and Presentation Towards Personalized Vaccines in Cancer Immunology: A Brief Review

      • Vicente Enrique Machaca, Valeria Goyzueta, Maria Cruz, Yvan Tupac
      Pages 14-23

    4. Auto-phylo: A Pipeline Maker for Phylogenetic Studies

      • Hugo López-Fenández, Miguel Pinto, Cristina P. Vieira, Pedro Duque, Miguel Reboiro-Jato, Jorge Vieira
      Pages 24-33

    5. Feature Selection Methods Comparison: Logistic Regression-Based Algorithm and Neural Network Tools

      • Katarzyna Sieradzka, Joanna Polańska
      Pages 34-43

    6. A New GIMME–Based Heuristic for Compartmentalised Transcriptomics Data Integration

      • Diego Troitiño-Jordedo, Lucas Carvalho, David Henriques, Vítor Pereira, Miguel Rocha, Eva Balsa-Canto
      Pages 44-52

    7. Identifying Heat-Resilient Corals Using Machine Learning and Microbiome

      • Hyerim Yong, Mai Oudah
      Pages 53-61

    8. Machine Learning Based Screening Tool for Alzheimer’s Disease via Gut Microbiome

      • Pedro Velasquez, Mai Oudah
      Pages 62-72

    9. Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement Learning

      • Zanuba Hilla Qudrotu Chofsoh, Imam Mukhlash, Mohammad Iqbal, Bandung Arry Sanjoyo
      Pages 73-83

    10. Analysis of the Confidence in the Prediction of the Protein Folding by Artificial Intelligence

      • Paloma Tejera-Nevado, Emilio Serrano, Ana González-Herrero, Rodrigo Bermejo-Moreno, Alejandro Rodríguez-González
      Pages 84-93

  3. Doctoral Consortium

    1. Front Matter

      Pages 95-95
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    2. Neoantigen Detection Using Transformers and Transfer Learning in the Cancer Immunology Context

      • Vicente Enrique Machaca Arceda
      Pages 97-102

  4. Back Matter

    Pages 103-103
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Other volumes

  1. Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023)

Editors and Affiliations

  • Centro de Engenharia Biológica, Universidade de Vigo, Braga, Portugal

    Miguel Rocha

  • Computer Science Department, University of Minho, Vigo, Spain

    Florentino Fdez-Riverola

  • Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates

    Mohd Saberi Mohamad

  • University of Salamanca, Salamanca, Spain

    Ana Belén Gil-González

About the editors


Bibliographic Information

  • Book Title: Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023)

  • Editors: Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Ana Belén Gil-González

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-38079-2

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-38078-5Published: 11 July 2023

  • eBook ISBN: 978-3-031-38079-2Published: 10 July 2023

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XII, 103

  • Number of Illustrations: 6 b/w illustrations, 18 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Bioinformatics

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