publications – Page 4 – Systems Biology and Bioinformatics Group

December 5, 2022December 13, 2022

Cesaro G., Milia M., Baruzzo G., Finco G., Morandini F., Lazzarini A., Alotto P., de Miranda N.F., Trajanoski Z., Finotello F., Di Camillo B. MAST: a hybrid Multi-Agent Spatio-Temporal model of tumor microenvironment informed using a data-driven approach, Bioinformatics Advances 2022

September 9, 2022

Cappellato M, Baruzzo G, Di Camillo B. Investigating differential abundance methods in microbiome data: A benchmark study. PLOS Computational Biology 2022

September 6, 2022

Guazzo A, Trescato I, Hazizaj E., Longato E, Dosso D, Faggioli G, Di Nunzio G M, Silvello G, Vettoretti M, Tavazzi E, Roversi C, Fariselli P, Madeira S C, Alves de Carvalho M, Chiò A, Dagliati A, Birolo G, Aidos H, Di Camillo B, and Ferro N. Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. In: Faggioli G, Ferro N, Hanbury A, Potthast M (Eds.), CLEF 2022 Working Notes, CEUR Workshop Proceedings (CEUR-WS.org), 2022

September 6, 2022

Guazzo A, Trescato I, Hazizaj E., Longato E, Dosso D, Faggioli G, Di Nunzio G M, Silvello G, Vettoretti M, Tavazzi E, Roversi C, Fariselli P, Madeira S C, Alves de Carvalho M, Chiò A, Dagliati A, Birolo G, Aidos H, Di Camillo B, and Ferro N. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. In: Barrón-Cedeño A, Da San Martino G, Degli Esposti M, Sebastiani F, Macdonald C, Pasi G, Hanbury A, Potthast M, Faggioli G, and Ferro N, (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction, Proceedings of the Thirteenth International Conference of the CLEF Association (CLEF 2022), Lecture Notes in Computer Science (LNCS) 2022

August 22, 2022February 6, 2024

Longato E, Di Camillo B, Sparacino G, Avogaro A, Fadini GP. Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis. Cardiovasc Diabetol 2022.

August 22, 2022

Trescato I, Guazzo A, Longato E, Hazizaj E, Roversi C, Tavazzi E, Vettoretti M, Di Camillo B. Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. In: Faggioli G, Ferro N, Hanbury A, Potthast M (Eds.), CLEF 2022 Working Notes, CEUR Workshop Proceedings (CEUR-WS.org) 2022

June 1, 2022February 6, 2024

Longato E, Morieri ML, Sparacino G, Di Camillo B, Cattelan A, Lo Menzo S, Trevenzoli M, Vianello A, Guarnieri G, Lionello F, Avogaro A, Fioretto P, Vettor R, Fadini GP. Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes. Comput Methods Programs Biomed 2022.

May 11, 2022May 24, 2022

Guazzo A, Longato E, Morieri ML, Sparacino G, Franco-Novelletto B, Cancian M, Fusello M, Tramontan L, Battaggia A, Avogaro A, Fadini GP, Di Camillo B. Performance assessment across different care settings of a heart failure hospitalisation risk-score for type 2 diabetes using administrative claims. Scientific Reports 2022

March 10, 2022March 25, 2022

Tavazzi E, Daberdaku S, Zandonà A, Vasta R, Nefussy B, Lunetta C, Mora G, Mandrioli J, Grisan E, Tarlarini C, Calvo A, Moglia C, Gotkine M, Drory V, Chiò A, Di Camillo B. Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression. J Neurol 2022

February 10, 2022February 14, 2022

Baruzzo G, Patuzzi I, Di Camillo B. Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results. BMC Bioinformatics 2022