Abstract is missing.
- The Impact of Schizophrenia Misdiagnosis Rates on Machine Learning Models PerformanceDaniel Martins, Conceição Egas, Joel P. Arrais. 3-13 [doi]
- Deep Learning and Transformers in MHC-Peptide Binding and Presentation Towards Personalized Vaccines in Cancer Immunology: A Brief ReviewVicente Enrique Machaca, Valeria Goyzueta, Maria Cruz, Yván Túpac. 14-23 [doi]
- Auto-phylo: A Pipeline Maker for Phylogenetic StudiesHugo López-Fernández, Miguel Pinto, Cristina P. Vieira, Pedro Duque, Miguel Reboiro-Jato, Jorge Vieira. 24-33 [doi]
- Feature Selection Methods Comparison: Logistic Regression-Based Algorithm and Neural Network ToolsKatarzyna Sieradzka, Joanna Polanska. 34-43 [doi]
- A New GIMME-Based Heuristic for Compartmentalised Transcriptomics Data IntegrationDiego Troitiño-Jordedo, Lucas Carvalho, David Henriques, Vítor Pereira 0001, Miguel Rocha 0001, Eva Balsa-Canto. 44-52 [doi]
- Identifying Heat-Resilient Corals Using Machine Learning and MicrobiomeHyerim Yong, Mai Oudah. 53-61 [doi]
- Machine Learning Based Screening Tool for Alzheimer's Disease via Gut MicrobiomePedro Velasquez, Mai Oudah. 62-72 [doi]
- Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement LearningZanuba Hilla Qudrotu Chofsoh, Imam Mukhlash, Mohammad Iqbal, Bandung Arry Sanjoyo. 73-83 [doi]
- Analysis of the Confidence in the Prediction of the Protein Folding by Artificial IntelligencePaloma Tejera-Nevado, Emilio Serrano, Ana González-Herrero, Rodrigo Bermejo-Moreno, Alejandro Rodríguez González. 84-93 [doi]
- Neoantigen Detection Using Transformers and Transfer Learning in the Cancer Immunology ContextVicente Enrique Machaca Arceda. 97-102 [doi]