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ORCID19th CIBB 2024: Benevento, Italy
- Luigi Cerulo
, Francesco Napolitano, Francesco Bardozzo, Lu Cheng, Annalisa Occhipinti, Stefano Maria Pagnotta:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 19th International Meeting, CIBB 2024, Benevento, Italy, September 4-6, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15276, Springer 2025, ISBN 978-3-031-89703-0
Bioinformatics
- Zehra Kesemen, Ilknur Karadeniz, Reyhan Aydogan:
Clustering-Based Negative Sampling Approaches for Protein-Protein Interaction Prediction. 3-14 - Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Filippo Vella, Riccardo Rizzo:
Proteins Transcription Factor Prediction Using Graph Neural Networks. 15-27 - Luca Faretra, Antonio Ammendola, Massimo Pancione, Francesco Napolitano, Luigi Cerulo:
Identification of Differential Alternative Splicing Events: Assessing Tools Performance with Different Sequencing Parameters. 28-42 - Daniel Grimland, Eitan Tannenbaum, Hillel Kugler:
Methods and Tools to Facilitate RE:IN Modeling and Analysis of GRNs. 43-57 - Alberto Corradin, Francesco Ciccarese, Vittoria Raimondi, Loredana Urso, Micol Silic-Benussi, Vincenzo Ciminale:
Gene Set-Focused Analysis of RNA-Seq Data with MIEP (Make-It-Easy-Pipeline). 58-68 - Diego Fernández-Edreira, Jose Liñares-Blanco, Carlos Fernandez-Lozano:
Cross Sequencing Integration of Compositional Microbiome Data in Cancer. 69-78
Medical Informatics
- Anika Hannemann, Arjhun Swaminathan, Ali Burak Ünal, Mete Akgün:
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis. 81-95 - Davide Belluomo, Tiziana Calamoneri, Giacomo Paesani, Ivano Salvo:
Toward a Unified Graph-Based Representation of Medical Data for Precision Oncology Medicine. 96-110 - Francesco Bardozzo, Pierpaolo Fiore, Pietro Liò, Roberto Tagliaferri:
FP-Elegans M1: Feature Pyramid Reservoir Connectome Transformers and Multi-backbone Feature Extractors for MEDMNIST2D-V2. 111-120
Natural Language Processing (NLP) and Large Language Models (LLM) for Unstructured Data in Health Informatics
- Chengbo Fu, Lu Cheng:
Driver Gene Detection via Causal Inference on Single Cell Embeddings. 123-133 - Elena Sblendorio, Alessio Lo Cascio, Daniele Napolitano, Francesco Germini, Vincenzo Dentamaro, Michela Piredda, Giancarlo Cicolini:
Assessing and Comparing Free Large Language Models' Responses to a Clinical Case: Accuracy, Safety, and Reliability. 134-149 - Silvia Cascianelli, Cristina Iudica, Marco Masseroli:
Three-Stage Data Science Methodology to Explore Genetic Heterogeneity of Diseases. 150-164 - Daniela Volpatto, Marco Frattarola, Simone Pernice, Francesca Cordero, Marco Beccuti, Giulio Mengozzi, Stefano De Angelis, Roberta Sirovich:
Functional Data Analysis and Clustering of Haematological Parameters in SARS-CoV-2 Patients. 165-179
Modeling and Simulation Methods for Computational Biology and Systems Medicine
- H. Robert Frost:
Gene Set Optimization for Single Cell Transcriptomics. 183-195 - Flaminia Tani, Gloria Bertoli, Bruno Giovanni Galuzzi:
MicroRNAs as Biomarkers for Ulcerative Colitis. 196-205 - Sandro Gepiro Contaldo, Emanuele Pietropaolo, Lorenzo Bosio, Simone Pernice, Irene Terrone, Daniele Baccega, Yuting Wang, Rahul Kumar Sahoo, Giuseppe Rizzo, Alessia Visconti, Paola Berchialla, Marco Beccuti:
PHeP: TrustAlert Open-Source Platform for Enhancing Predictive Healthcare with Deep Learning. 206-216 - Stefano Maestri:
Cutting Slices of Complexity in Cancer Therapy Design: An Agent-Based Model of Dabrafenib in Melanoma. 217-229
Machine Learning for Structured Data in Clinical Informatics and Medical Biology
- Sofia Mongardi, Silvia Cascianelli, Marco Masseroli:
Forward and Backward Feature Selection Guided by Prior Biological Knowledge for Enhanced Interpretability. 233-247 - Alberto Zancanaro, Giulia Cisotto:
The Impact of Mis-Labeled Artefacts on Deep Learning Models for EEG Analysis: a Case Study. 248-255 - Simone Tomè, Silvia Cascianelli, Erika Salvi, Marco Masseroli:
Benchmark Study on Supervised Relevance-Redundancy Assessment for Feature Selection in Genomic Data. 256-265
Computational Intelligence in Personalized Medicine
- Caroline König, Wafaa Guendouz, Pedro Copado, Cecilio Angulo, Àngela Nebot, Susana Ochoa, Maria Lamarca, Rabea Fischer, Fabrice Berna, Lucasz Gaweda, Vanessa Acuña, Alfredo Vellido:
Group Discovery in a Clinical Database of Patients with Psychosis Who Have Undergone Metacognitive Training. 269-280 - Bastian Pfeifer, Marcus D. Bloice, Christel Sirocchi, Markus Loecher:
Hierarchical Clustering with an Ensemble of Principle Component Trees for Interpretable Patient Stratification. 281-291
Computational Structural Bioinformatics
- Jayanth Kumar, Kavya Jayakumar, Jayaprakash Sundararaj:
ESMCrystal : Enhancing Protein Crystallization Prediction Through Protein Embeddings. 295-306 - Michela Quadrini, Piero Hierro Canchari, Piermichele Rosati, Luca Tesei:
TARNAS, a TrAnslator for RNA Secondary Structure Formats. 307-316
Short Papers
- Antonio Ammendola, Felicita Masone, Luigi Cerulo, Francesco Napolitano:
Novel Approaches for Spatially Resolving Gene Responses and Injection Site Localization in Transcriptomic Data. 319-322 - Mirella Sangiovanni, Willem-Jan van den Heuvel, George Manias:
Deep Learning Approaches for Forensics DNA Profiling: a Replication Study. 323-326
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