Barbara Di Camillo

99 papers B 6C 2Misc 1Journal 56Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling. Int. J. Medical Informatics Mahin Vazifehdan, Pietro Bosoni, Erica Tavazzi, Enrico Longato, Eleonora Tavazzi, Roberto Bergamaschi, Barbara Di Camillo, Ameen Abu-Hanna, Riccardo Bellazzi, Arianna Dagliati
2025	—	`conf`	A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes. BIBM Sara Poletto, Noemi Gonzato, Erica Tavazzi, Enrico Longato, Amanda Adler, Mari-Anne Gall, Matthias Müllenborn, Barbara Di Camillo, Martina Vettoretti
2025	J	`jnl`	Advances and challenges in cell-cell communication inference: a comprehensive review of tools, resources, and future directions. Briefings Bioinform. Giulia Cesaro, James Shiniti Nagai, Nicolò Gnoato, Alice Chiodi, Gaia Tussardi, Vanessa Klöker, Carmelo Vittorio Musumarra, Ettore Mosca, Ivan G. Costa, Barbara Di Camillo, Enrica Calura, Giacomo Baruzzo
2025	B	`conf`	Biologically Informed procedure for Feature Summarization in Spatial Transcriptomics. IJCNN Matteo Baldan, Giulia Cesaro, Giacomo Baruzzo, Barbara Di Camillo
2025	J	`jnl`	Challenges and opportunities for digital twins in precision medicine from a complex systems perspective. npj Digit. Medicine Manlio De Domenico, Luca Allegri, Guido Caldarelli, Valeria d'Andrea, Barbara Di Camillo, Luis M. Rocha, Jordan C. Rozum, Riccardo Sbarbati, Francesco Zambelli
2025	—	`conf`	Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data. BIBM Enrico Longato, Erica Tavazzi, Anna Milani, Elena Marinello, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2025	—	`conf`	Effect of Environmental Personal Exposure on Amyotrophic Lateral Sclerosis Disease Progression. ICHI Pietro Bosoni, Irene Aiello, Umberto Manera, Marta Gromicho, Inês Alves, Barbara Di Camillo, Mamede de Carvalho, Adriano Chiò, Riccardo Bellazzi, Arianna Dagliati
2025	—	`conf`	Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis. AIME (1) Davide Dei Cas, Enrico Longato, Erica Tavazzi, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Barbara Di Camillo
2025	J	`jnl`	MOV&RSim: computational modelling of cancer-specific variants and sequencing reads characteristics for realistic tumoral sample simulation. BMC Bioinform. Francesca Longhin, Giacomo Baruzzo, Enidia Hazizaj, Diego Boscarino, Dino Paladin, Barbara Di Camillo
2025	J	`jnl`	The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes. Comput. Methods Programs Biomed. Davide Dei Cas, Barbara Di Camillo, Gian Paolo Fadini, Giovanni Sparacino, Enrico Longato
2025	J	`jnl`	Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data. IEEE Access Youngro Lee, Giacomo Baruzzo, Jeonghwan Kim, Jong-Mo Seo, Barbara Di Camillo
2025	C	`conf`	quickSparseM: a library for memory- and time-efficient computation on large, sparse matrices with application to omics data. PDP Giacomo Baruzzo, Giulia Cesaro, Barbara Di Camillo
2024	—	`conf`	Characterization of Chronic Kidney Disease Progression in Patients with Diabetes via Group-Based Multi-Trajectory Modeling. EMBC Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Rema Padman, Barbara Di Camillo
2024	J	`jnl`	DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling. IEEE J. Biomed. Health Informatics Isotta Trescato, Erica Tavazzi, Martina Vettoretti, Roberto Gatta, Rosario Vasta, Adriano Chiò, Barbara Di Camillo
2024	J	`jnl`	Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes. CoRR Davide Dei Cas, Barbara Di Camillo, Gian Paolo Fadini, Giovanni Sparacino, Enrico Longato
2024	J	`jnl`	Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression. CoRR Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2024	J	`jnl`	From translational bioinformatics computational methodologies to personalized medicine. J. Biomed. Informatics Barbara Di Camillo, Rosalba Giugno
2024	—	`conf`	Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. CLEF (2) Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024	—	`conf`	Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients. BIBM Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2024	—	`conf`	Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024	—	`conf`	Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data. LOD (2) Alessandro Guazzo, Enrico Longato, Isotta Trescato, Erica Tavazzi, Adriano Chiò, Umberto Manera, Grazia Zocco, Paola Cavalla, Marco Vercellino, Lara Ahmad, Eleonora Tavazzi, Roberto Bergamaschi, Rema Padman, Barbara Di Camillo
2024	J	`jnl`	Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study. BMC Medical Informatics Decis. Mak. Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi, Enrico Longato, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Martina Vettoretti, Barbara Di Camillo
2024	—	`conf`	Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability. RTSI Isotta Trescato, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Barbara Di Camillo
2024	—	`conf`	Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study. CLEF (Working Notes) Elena Marinello, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo
2024	J	`jnl`	Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data. CoRR Youngro Lee, Giacomo Baruzzo, Jeonghwan Kim, Jongmo Seo, Barbara Di Camillo
2024	—	`conf`	iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. ECIR (6) Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi
2023	J	`jnl`	A model to forecast the two-year variation of subjective wellbeing in the elderly population. BMC Medical Informatics Decis. Mak. Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
2023	J	`jnl`	Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Medicine Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo
2023	—	`conf`	Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression. CLEF (Working Notes) Alessandro Guazzo, Isotta Trescato, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
2023	—	`conf`	DAVI: A Dataset for Automatic Variant Interpretation. CLEF Francesca Longhin, Alessandro Guazzo, Enrico Longato, Nicola Ferro, Barbara Di Camillo
2023	B	`conf`	Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. AIME Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo
2023	—	`conf`	Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. CLEF Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023	—	`conf`	Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks. PKDD/ECML Workshops (4) Erica Tavazzi, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo
2023	—	`conf`	Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023	—	`conf`	iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. ECIR (3) Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi
2022	—	`conf`	Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. CLEF (Working Notes) Isotta Trescato, Alessandro Guazzo, Enrico Longato, Enidia Hazizaj, Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
2022	—	`conf`	Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports. LOD (1) Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo
2022	J	`jnl`	From translational bioinformatics computational methodologies to personalized medicine. J. Biomed. Informatics Barbara Di Camillo, Rosalba Giugno
2022	J	`jnl`	Guest Editorial: Deep Learning For Genomics. IEEE ACM Trans. Comput. Biol. Bioinform. Barbara Di Camillo, Giuseppe Nicosia
2022	J	`jnl`	Identify, quantify and characterize cellular communication from single-cell RNA sequencing data with Bioinform. Giacomo Baruzzo, Giulia Cesaro, Barbara Di Camillo
2022	—	`conf`	Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. CLEF Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022	J	`jnl`	Investigating differential abundance methods in microbiome data: A benchmark study. PLoS Comput. Biol. Marco Cappellato, Giacomo Baruzzo, Barbara Di Camillo
2022	J	`jnl`	Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis. BMC Medical Informatics Decis. Mak. Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto, Alessandro Padovani, Maurizio Castellano, Barbara Di Camillo
2022	—	`conf`	Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022	J	`jnl`	Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes. Comput. Methods Programs Biomed. Enrico Longato, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo, Annamaria Cattelan, Sara Lo Menzo, Marco Trevenzoli, Andrea Vianello, Gabriella Guarnieri, Federico Lionello, Angelo Avogaro, Paola Fioretto, Roberto Vettor, Gian Paolo Fadini
2021	J	`jnl`	A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims. IEEE J. Biomed. Health Informatics Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Lara Tramontan, Barbara Di Camillo
2021	—	`conf`	A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. BHI Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
2021	J	`jnl`	Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results. BMC Bioinform. Giacomo Baruzzo, Ilaria Patuzzi, Barbara Di Camillo
2021	—	`conf`	Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings. BIBM Alessandro Guazzo, Alessandro Battaggia, Enrico Longato, Bruno Franco-Novelletto, Angelo Avogaro, Gian Paolo Fadini, Maurizio Cancian, Barbara Di Camillo, Giovanni Sparacino, Massimo Fusello
2021	J	`jnl`	Comparison of microbiome samples: methods and computational challenges. Briefings Bioinform. Matteo Comin, Barbara Di Camillo, Cinzia Pizzi, Fabio Vandin
2021	J	`jnl`	Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response. BMC Bioinform. Irene Zorzan, Simone Del Favero, Alberto Giaretta, Riccardo Manganelli, Barbara Di Camillo, Luca Schenato
2021	—	`conf`	Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements. BHI Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
2021	B	`conf`	Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data. AIME Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo
2020	J	`jnl`	A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data. J. Heal. Informatics Res. Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo
2020	J	`jnl`	A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models. J. Biomed. Informatics Enrico Longato, Martina Vettoretti, Barbara Di Camillo
2020	J	`jnl`	Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach. BMC Medical Informatics Decis. Mak. Erica Tavazzi, Sebastian Daberdaku, Rosario Vasta, Andrea Calvo, Adriano Chiò, Barbara Di Camillo
2020	J	`jnl`	Guest Editorial Data Science in Smart Healthcare: Challenges and Opportunities. IEEE J. Biomed. Health Informatics Barbara Di Camillo, Giuseppe Nicosia, Francesca Buffa, Benny Lo
2020	J	`jnl`	SPARSim single cell: a count data simulator for scRNA-seq data. Bioinform. Giacomo Baruzzo, Ilaria Patuzzi, Barbara Di Camillo
2019	J	`jnl`	A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression. BMC Bioinform. Alessandro Zandonà, Rosario Vasta, Adriano Chiò, Barbara Di Camillo
2019	J	`jnl`	Analysis of a Minimal Gene Regulatory Network for Cell Differentiation. IEEE Control. Syst. Lett. Irene Zorzan, Simone Del Favero, Barbara Di Camillo, Luca Schenato
2019	B	`conf`	Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients. ESANN Enrico Grisan, Alessandro Zandonà, Barbara Di Camillo
2019	—	`conf`	Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy). EMBC Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Claudio Saccavini, Arianna Cocchiglia, Lara Tramontan, Gian Paolo Fadini
2019	J	`jnl`	How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives. Briefings Bioinform. Alessandra Dal Molin, Barbara Di Camillo
2019	C	`ed.`	IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019 CIBCB Giacomo Baruzzo, Sebastian Daberdaku, Barbara Di Camillo, Simone Furini, Emanuele Domenico Giordano, Giuseppe Nicosia
2019	—	`conf`	Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data. ICHI Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo
2019	J	`jnl`	metaSPARSim: a 16S rRNA gene sequencing count data simulator. BMC Bioinform. Ilaria Patuzzi, Giacomo Baruzzo, Carmen Losasso, Antonia Ricci, Barbara Di Camillo
2018	—	`conf`	Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study. EMBC Martina Vettoretti, Enrico Longato, Barbara Di Camillo, Andrea Facchinetti
2018	J	`jnl`	Measuring the diversity of the human microbiota with targeted next-generation sequencing. Briefings Bioinform. Francesca Finotello, Eleonora Mastrorilli, Barbara Di Camillo
2018	J	`jnl`	Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene. BMC Bioinform. Francesco Sambo, Francesca Finotello, Enrico Lavezzo, Giacomo Baruzzo, Giulia Masi, Elektra Peta, Marco Falda, Stefano Toppo, Luisa Barzon, Barbara Di Camillo
2017	J	`jnl`	A Dynamic Bayesian Network model for simulation of disease progression in Amyotrophic Lateral Sclerosis patients. PeerJ Prepr. Alessandro Zandonà, Matilde Francescon, Maya Bronfeld, Andrea Calvo, Adriano Chiò, Barbara Di Camillo
2017	J	`jnl`	bnstruct: an R package for Bayesian Network structure learning in the presence of missing data. Bioinform. Alberto Franzin, Francesco Sambo, Barbara Di Camillo
2016	J	`jnl`	A rule-based model of insulin signalling pathway. BMC Syst. Biol. Barbara Di Camillo, Azzurra Carlon, Federica Eduati, Gianna Maria Toffolo
2015	—	`conf`	A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes. EMBC Francesco Sambo, Barbara Di Camillo, Alberto Franzin, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli
2015	B	`conf`	A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes. AIME Francesco Sambo, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Barbara Di Camillo, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli
2015	J	`jnl`	A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes. J. Biomed. Informatics Simone Marini, Emanuele Trifoglio, Nicola Barbarini, Francesco Sambo, Barbara Di Camillo, Alberto Malovini, Marco Manfrini, Claudio Cobelli, Riccardo Bellazzi
2015	—	`conf`	Modeling HPV early promoter regulation. EMBC Alberto Giaretta, Barbara Di Camillo, Luisa Barzon, Gianna Maria Toffolo
2014	J	`jnl`	ABACUS: an entropy-based cumulative bivariate statistic robust to rare variants and different direction of genotype effect. Bioinform. Barbara Di Camillo, Francesco Sambo, Gianna Toffolo, Claudio Cobelli
2014	J	`jnl`	Compression and fast retrieval of SNP data. Bioinform. Francesco Sambo, Barbara Di Camillo, Gianna Toffolo, Claudio Cobelli
2014	J	`jnl`	Reducing bias in RNA sequencing data: a novel approach to compute counts. BMC Bioinform. Francesca Finotello, Enrico Lavezzo, Luca Bianco, Luisa Barzon, Paolo Mazzon, Paolo Fontana, Stefano Toppo, Barbara Di Camillo
2013	J	`jnl`	Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data. Source Code Biol. Medicine Grzegorz Zycinski, Annalisa Barla, Margherita Squillario, Tiziana Sanavia, Barbara Di Camillo, Alessandro Verri
2012	J	`jnl`	Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. BMC Bioinform. Marco Falda, Stefano Toppo, Alessandro Pescarolo, Enrico Lavezzo, Barbara Di Camillo, Andrea Facchinetti, Elisa Cilia, Riccardo Velasco, Paolo Fontana
2012	J	`jnl`	Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data. BMC Bioinform. Francesco Sambo, Emanuele Trifoglio, Barbara Di Camillo, Gianna Maria Toffolo, Claudio Cobelli
2012	J	`jnl`	Comparative analysis of algorithms for whole-genome assembly of pyrosequencing data. Briefings Bioinform. Francesca Finotello, Enrico Lavezzo, Paolo Fontana, Denis Peruzzo, Alessandro Albiero, Luisa Barzon, Marco Falda, Barbara Di Camillo, Stefano Toppo
2012	B	`conf`	Discriminant functional gene groups identification with machine learning and prior knowledge. ESANN Grzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo
2012	J	`jnl`	Dynamic Modeling of miRNA-mediated Feed-Forward Loops. J. Comput. Biol. Federica Eduati, Barbara Di Camillo, Michael Karbiener, Marcel Scheideler, Davide Corà, Michele Caselle, Gianna Toffolo
2012	J	`jnl`	Improving biomarker list stability by integration of biological knowledge in the learning process. BMC Bioinform. Tiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, Andrea Bisognin, Barbara Di Camillo
2012	J	`jnl`	Integrating literature-constrained and data-driven inference of signalling networks. Bioinform. Federica Eduati, Javier De Las Rivas, Barbara Di Camillo, Gianna Toffolo, Julio Saez-Rodriguez
2012	J	`jnl`	MORE: Mixed Optimization for Reverse Engineering - An Application to Modeling Biological Networks Response via Sparse Systems of Nonlinear Differential Equations. IEEE ACM Trans. Comput. Biol. Bioinform. Francesco Sambo, Marco Antonio Montes de Oca, Barbara Di Camillo, Gianna Toffolo, Thomas Stützle
2012	—	`conf`	Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data. LION Francesco Sambo, Barbara Di Camillo
2012	J	`jnl`	Qualitative Reasoning for Biological Network Inference from Systematic Perturbation Experiments. IEEE ACM Trans. Comput. Biol. Bioinform. Silvana Badaloni, Barbara Di Camillo, Francesco Sambo
2012	J	`jnl`	SimBioNeT: A Simulator of Biological Network Topology. IEEE ACM Trans. Comput. Biol. Bioinform. Barbara Di Camillo, Marco Falda, Gianna Toffolo, Claudio Cobelli
2011	J	`jnl`	Sensitivity Analysis of Retrovirus HTLV-1 Transactivation. J. Comput. Biol. Alberto Corradin, Barbara Di Camillo, Vincenzo Ciminale, Gianna Toffolo, Claudio Cobelli
2010	J	`jnl`	An Optimized Data Structure for High Throughput 3D Proteomics Data: mzRTree CoRR Sara Nasso, Francesco Silvestri, Francesco Tisiot, Barbara Di Camillo, Andrea Pietracaprina, Gianna Maria Toffolo
2010	—	`conf`	Qualitative Reasoning on Systematic Gene Perturbation Experiments. CIBB Francesco Sambo, Barbara Di Camillo
2010	Misc	`conf`	Retrovirus HTLV-1 Gene Circuit: A Potential Oscillator for Eukaryotes. Pacific Symposium on Biocomputing Alberto Corradin, Barbara Di Camillo, Francesca Rende, Vincenzo Ciminale, Gianna Toffolo, Claudio Cobelli
2009	—	`conf`	On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error. Artificial Evolution Francesco Sambo, Marco Antonio Montes de Oca, Barbara Di Camillo, Thomas Stützle
2007	J	`jnl`	Significance analysis of microarray transcript levels in time series experiments. BMC Bioinform. Barbara Di Camillo, Gianna Toffolo, Sreekumaran K. Nair, Laura J. Greenlund, Claudio Cobelli
2005	J	`jnl`	A quantization method based on threshold optimization for microarray short time series. BMC Bioinform. Barbara Di Camillo, Fátima Sánchez-Cabo, Gianna Toffolo, Sreekumaran K. Nair, Zlatko Trajanoski, Claudio Cobelli
2003	—	`—`	Modelling dynamic gene expression profiles. Barbara Di Camillo