COSYS: A Computational Infrastructure for Systems Biology. - Fabio Cumbo; Marco S. Nobile; Chiara Damiani; Riccardo Colombo; Giancarlo Mauri; Paolo Cazzaniga (CIBB, 2016)

IRIS-TCGA: An Information Retrieval and Integration System for Genomic Data of Cancer. - Fabio Cumbo; Emanuel Weitschek; Paola Bertolazzi; Giovanni Felici (CIBB, 2016)

Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer. - Emanuel Weitschek; Fabio Cumbo; Eleonora Cappelli; Giovanni Felici (DEXA Workshops, 2016)

TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas. - Fabio Cumbo; Giulia Fiscon; Stefano Ceri; Marco Masseroli; Emanuel Weitschek (BMC Bioinform., 2017)

An ontology-based approach to improve data querying and organization of Alzheimer's Disease data. - Ivan Arisi; Paola Bertolazzi; Eleonora Cappelli; Federica Conte; Fabio Cumbo; Giulia Fiscon; Michele Sonnessa; Francesco Taglino (BIBM, 2018)

Classifying Big DNA Methylation Data: A Gene-Oriented Approach. - Emanuel Weitschek; Fabio Cumbo; Eleonora Cappelli; Giovanni Felici; Paola Bertolazzi (DEXA Workshops, 2018)

Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers. - Fabrizio Celli; Fabio Cumbo; Emanuel Weitschek (Big Data Res., 2018)

IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales. - Marzia A. Cremona; Alessia Pini; Fabio Cumbo; Kateryna D. Makova; Francesca Chiaromonte; Simone Vantini (Bioinform., 2018)

Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies. - Eleonora Cappelli; Emanuel Weitschek; Fabio Cumbo (CIBB, 2019)

Smart Persistence and Accessibility of Genomic and Clinical Data. - Eleonora Cappelli; Emanuel Weitschek; Fabio Cumbo (DEXA Workshops, 2019)

An In-Memory Cognitive-Based Hyperdimensional Approach to Accurately Classify DNA-Methylation Data of Cancer. - Fabio Cumbo; Emanuel Weitschek (DEXA Workshops, 2020)

A Brain-Inspired Hyperdimensional Computing Approach for Classifying Massive DNA Methylation Data of Cancer. - Fabio Cumbo; Eleonora Cappelli; Emanuel Weitschek (Algorithms, 2020)

OpenGDC. - Fabio Cumbo; Eleonora Cappelli; Anna Bernasconi 002; Arif Canakoglu; Stefano Ceri; Marco Masseroli; Emanuel Weitschek (Zenodo, 2020)

Ten quick tips for avoiding pitfalls in multi-omics data integration analyses. - Davide Chicco; Fabio Cumbo; Claudio Angione (PLoS Comput. Biol., 2023)

Evaluating homophily in networks via HONTO (HOmophily Network TOol): a case study of chromosomal interactions in human PPI networks. - Nicola Apollonio; Daniel Blankenberg; Fabio Cumbo; Paolo Giulio Franciosa; Daniele Santoni (Bioinform., 2023)

hdlib: A Python library for designing Vector-Symbolic Architectures. - Fabio Cumbo; Emanuel Weitschek; Daniel Blankenberg (J. Open Source Softw., 2023)

An ontology-based approach for modelling and querying Alzheimer's disease data. - Francesco Taglino; Fabio Cumbo; Giulia Antognoli; Ivan Arisi; Mara D'Onofrio; Federico Perazzoni; Roger Voyat; Giulia Fiscon; Federica Conte; Marco Canevelli; Giuseppe Bruno; Patrizia Mecocci; et al. (BMC Medical Informatics Decis. Mak., 2023)

Feature selection with vector-symbolic architectures: a case study on microbial profiles of shotgun metagenomic samples of colorectal cancer. - Fabio Cumbo; Simone Truglia; Emanuel Weitschek; Daniel Blankenberg (Briefings Bioinform., 2024)

Hyperdimensional computing in biomedical sciences: a brief review. - Fabio Cumbo; Davide Chicco (PeerJ Comput. Sci., 2025)