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

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

Table of Contents

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    Book Overview
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    Chapter 1 The Impact of Schizophrenia Misdiagnosis Rates on Machine Learning Models Performance
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    Chapter 2 Deep Learning and Transformers in MHC-Peptide Binding and Presentation Towards Personalized Vaccines in Cancer Immunology: A Brief Review
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    Chapter 4 Feature Selection Methods Comparison: Logistic Regression-Based Algorithm and Neural Network Tools
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    Chapter 5 A New GIMME–Based Heuristic for Compartmentalised Transcriptomics Data Integration
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    Chapter 6 Identifying Heat-Resilient Corals Using Machine Learning and Microbiome
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    Chapter 7 Machine Learning Based Screening Tool for Alzheimer’s Disease via Gut Microbiome
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    Chapter 8 Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement Learning
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    Chapter 9 Analysis of the Confidence in the Prediction of the Protein Folding by Artificial Intelligence
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    Chapter 10 Neoantigen Detection Using Transformers and Transfer Learning in the Cancer Immunology Context
Attention for Chapter 2: Deep Learning and Transformers in MHC-Peptide Binding and Presentation Towards Personalized Vaccines in Cancer Immunology: A Brief Review
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Chapter title
Deep Learning and Transformers in MHC-Peptide Binding and Presentation Towards Personalized Vaccines in Cancer Immunology: A Brief Review
Chapter number 2
Book title
Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023)
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-38079-2_2
Book ISBNs
978-3-03-138078-5, 978-3-03-138079-2
Authors

Machaca, Vicente Enrique, Goyzueta, Valeria, Cruz, Maria, Tupac, Yvan

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