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ORCIDPACBB 2023: Guimarães, Portugal
- Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Ana Belén Gil González
:
Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023), 12th-14th July, 2023, Guimarães, Portugal. Lecture Notes in Networks and Systems 743, Springer 2023, ISBN 978-3-031-38078-5
Main Track
- Daniel Martins, Conceição Egas, Joel P. Arrais:
The Impact of Schizophrenia Misdiagnosis Rates on Machine Learning Models Performance. 3-13 - Vicente Enrique Machaca Arceda, Valeria Goyzueta, Maria Cruz, Yván Túpac:
Deep Learning and Transformers in MHC-Peptide Binding and Presentation Towards Personalized Vaccines in Cancer Immunology: A Brief Review. 14-23 - Hugo López-Fernández, Miguel Pinto, Cristina P. Vieira, Pedro Duque, Miguel Reboiro-Jato, Jorge Vieira:
Auto-phylo: A Pipeline Maker for Phylogenetic Studies. 24-33 - Katarzyna Sieradzka, Joanna Polanska:
Feature Selection Methods Comparison: Logistic Regression-Based Algorithm and Neural Network Tools. 34-43 - Diego Troitiño-Jordedo, Lucas Carvalho, David Henriques, Vítor Pereira, Miguel Rocha, Eva Balsa-Canto:
A New GIMME-Based Heuristic for Compartmentalised Transcriptomics Data Integration. 44-52 - Hyerim Yong, Mai Oudah:
Identifying Heat-Resilient Corals Using Machine Learning and Microbiome. 53-61 - Pedro Velasquez, Mai Oudah:
Machine Learning Based Screening Tool for Alzheimer's Disease via Gut Microbiome. 62-72 - Zanuba Hilla Qudrotu Chofsoh, Imam Mukhlash, Mohammad Iqbal, Bandung Arry Sanjoyo:
Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement Learning. 73-83 - Paloma Tejera-Nevado, Emilio Serrano, Ana González-Herrero, Rodrigo Bermejo-Moreno, Alejandro Rodríguez González:
Analysis of the Confidence in the Prediction of the Protein Folding by Artificial Intelligence. 84-93
Doctoral Consortium
- Vicente Enrique Machaca Arceda:
Neoantigen Detection Using Transformers and Transfer Learning in the Cancer Immunology Context. 97-102
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