publications – Systems Biology and Bioinformatics Group

Cesaro G., Baruzzo G., Tussardi G., Di Camillo B. Differential cellular communication inference framework for large-scale single-cell RNA-sequencing data, NAR Genomics and Bioinformatics 2025

Cesaro, G., Nagai, J. S., Gnoato, N., Chiodi, A., Tussardi, G., Klöker, V., Musumarra, C. V., Mosca, E., Costa, I. G., Di Camillo, B., Calura, E., & Baruzzo, G. Advances and challenges in cell-cell communication inference: a comprehensive review of tools, resources, and future directions. Briefings in Bioinformatics 2025

Baruzzo G, Cesaro G, Di Camillo B. quickSparseM: a library for memory- and time-efficient computation on large, sparse matrices with application to omics data. Proceedings of the 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) 2025

March 4, 2025May 6, 2025

Guazzo A, Longato E, Trescato I, Tavazzi Er, Chiò A, Manera U, Zocco G, Cavalla P, Vercellino M,Ahmad L, Tavazzi El, Bergamaschi R, Padman R, Di Camillo B. Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data. In: Machine Learning, Optimization, and Data Science: 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September22–25, 2024, Revised Selected Papers, Part II, Lecture Notes in Computer Science (LNCS) 2025.

December 6, 2024January 29, 2025

Marinello E, Tavazzi E, Longato E, Bosoni P, Dagliati A, Vazifehdan M, Bellazzi R, Trescato I, Guazzo A, Vettoretti M, Tavazzi E, Ahmad L, Bergamaschi R, Cavalla P, Manera, U, Chiò A, Di Camillo B. Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024

November 26, 2024May 6, 2025

Trescato I, Guazzo A, Longato E, Tavazzi E, Vettoretti M, Manera U, Chiò A, Gromicho M, Alves I, de Carvalho M, Di Camillo B. Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability. In: Proc. IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (IEEE RTSI) 2024.

November 14, 2024May 6, 2025

Peek N, Hindricks G, Akbarov A, Tijssen JGP, Jenkins DA, Kapacee Z, Parkes LM, van der Geest RJ, Longato E, et al.. Sudden cardiac death after myocardial infarction: individual participant data from pooled cohorts. Eur Heart J 2024.

October 29, 2024May 6, 2025

Guazzo A, Atzeni M, Idi E, Trescato I, Tavazzi E, Longato E, Manera U, Chiò A, Gromicho M, AlvesI, de Carvalho M, Vettoretti M, Di Camillo B. Predicting Clinical Events Characterizing the Progression of Amyotrophic Lateral Sclerosis via Machine Learning Approaches Using Routine Visits Data: A Feasibility Study. BMC Med Inform Decis Mak 2024

October 16, 2024October 21, 2024

Di Liberto G, Nidiffer A, Crosse M, Zuk M, Haro S, Cantisani G, Winchester M, Igoe A, McCrann R, Chandra S, Lalor E, Baruzzo G. A standardised open science framework for sharing and re-analysing neural data acquired to continuous stimuli. Neurons, Behavior, Data analysis and Theory 2024

September 19, 2024May 6, 2025

Birolo G, Bosoni P, Faggioli G, Aidos H, Bergamaschi R, Cavalla P, Chiò A, Dagliati A, de Carvalho M, Di Nunzio GM, Fariselli P, Garcia Dominguez JM, Gromicho M, Guazzo A, Longato E, Madeira S, Manera U, Marchesin S, Menotti L, Silvello G, Tavazzi EL, Tavazzi Er, Trescato I, Vettoretti M, DiCamillo B, Ferro N. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. Lect Notes in Comp Science (LNCS) 2024.