Practical applications of computational biology and bioinformatics, 17th International Conference (PACBB 2023)
Información General
- Autores: Miguel Rocha (ed. lit.), Florentino Fernández Riverola (ed. lit.)
, Mohd Saberi Mohamad (ed. lit.), Ana Belén Gil González (ed. lit.) - Editores: Springer Suiza
- Año de publicación: 2023
- País: Suiza
- Idioma: inglés
- ISBN: 978-3-031-38078-5, 978-3-031-38079-2
- Recoge los contenidos presentados a: Practical Applications of Computational Biology & Bioinformatics (PACBB). International Conference (17. 2023. Miño).
- Enlaces
DOIListado de artículos
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Main Track
The impact of schizophrenia misdiagnosis rates on machine learning models performance
Daniel Martins, Conceição Egas, Joel P. Arrais
págs. 3-13
Deep learning and transformers in MHC-peptide binding and presentation towards personalized vaccines in cancer immunology: a brief review
Vicente Enrique Machaca Arceda, Valeria Goyzueta, Maria Cruz, Yván Túpac Valdivia
págs. 14-23
Auto-phylo: a pipeline maker for phylogenetic studies
Hugo López Fernández
, Miguel Pinto, Cristina P. Vieira, Pedro Duque, Miguel Reboiro Jato , Jorge Vieira págs. 24-33
Feature selection methods comparison: logistic regression-based algorithm and neural network tools
Katarzyna Sieradzka, Joanna Polanska
págs. 34-43
A new GIMME–based heuristic for compartmentalised transcriptomics data integration
Diego Troitiño Jordedo, Lucas Carvalho, David Henriques, Vítor Pereira, Miguel Rocha, Eva Balsa-Canto
págs. 44-52
Identifying heat-resilient corals using machine learning and microbiome
Hyerim Yong, Mai Oudah
págs. 53-61
Machine learning based screening tool for Alzheimer’s disease via gut microbiome
Pedro Velasquez, Mai Oudah
págs. 62-72
Progressive multiple sequence alignment for COVID-19 mutation identification via deep reinforcement learning
Zanuba Hilla Qudrotu Chofsoh, Imam Mukhlash, Mohammad Iqbal, Bandung Arry Sanjoyo
págs. 73-83
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
págs. 84-93
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Doctoral Consortium
Neoantigen detection using transformers and transfer learning in the cancer immunology context
Vicente Enrique Machaca Arceda
págs. 97-102
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