Machine learning–based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease von Lee, Youngro, Cappellato, Marco, Di Camillo, Barbara

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A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models von Longato, Enrico, Vettoretti, Martina, Di Camillo, Barbara

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Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms von Falda, Marco, Toppo, Stefano, Pescarolo, Alessandro, Lavezzo, Enrico, Di Camillo, Barbara, Facchinetti, Andrea, Cilia, Elisa, Velasco, Riccardo, Fontana, Paolo

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Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study von Guazzo, Alessandro, Atzeni, Michele, Idi, Elena, Trescato, Isotta, Tavazzi, Erica, Longato, Enrico, Manera, Umberto, Chió, Adriano, Gromicho, Marta, Alves, Inês, de Carvalho, Mamede, Vettoretti, Martina, Di Camillo, Barbara

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How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives von Dal Molin, Alessandra, Di Camillo, Barbara

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Nilotinib interferes with cell cycle, ABC transporters and JAK-STAT signaling pathway in CD34+/lin- cells of patients with chronic phase chronic myeloid leukemia after 12 months of... von Trojani, Alessandra, Pungolino, Ester, Dal Molin, Alessandra, Lodola, Milena, Rossi, Giuseppe, D'Adda, Mariella, Perego, Alessandra, Elena, Chiara, Turrini, Mauro, Borin, Lorenza, Bucelli, Cristina, Malato, Simona, Carraro, Maria Cristina, Spina, Francesco, Latargia, Maria Luisa, Artale, Salvatore, Spedini, Pierangelo, Anghilieri, Michela, Di Camillo, Barbara, Baruzzo, Giacomo, De Canal, Gabriella, Iurlo, Alessandra, Morra, Enrica, Cairoli, Roberto

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Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods von Dal Molin, Alessandra, Baruzzo, Giacomo, Di Camillo, Barbara

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Simulation-based comprehensive benchmarking of RNA-seq aligners von Baruzzo, Giacomo, Hayer, Katharina E, Kim, Eun Ji, Di Camillo, Barbara, FitzGerald, Garret A, Grant, Gregory R

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Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results von Baruzzo, Giacomo, Patuzzi, Ilaria, Di Camillo, Barbara

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Exposure to dipeptidyl‐peptidase‐4 inhibitors and COVID‐19 among people with type 2 diabetes: A case‐control study von Fadini, Gian Paolo, Morieri, Mario Luca, Longato, Enrico, Bonora, Benedetta Maria, Pinelli, Silvia, Selmin, Elisa, Voltan, Giacomo, Falaguasta, Daniele, Tresso, Silvia, Costantini, Giorgia, Sparacino, Giovanni, Di Camillo, Barbara, Tramontan, Lara, Cattelan, Anna Maria, Vianello, Andrea, Fioretto, Paola, Vettor, Roberto, Avogaro, Angelo

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A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population von Roversi, Chiara, Tavazzi, Erica, Vettoretti, Martina, Di Camillo, Barbara

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A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression von Zandonà, Alessandro, Vasta, Rosario, Chiò, Adriano, Di Camillo, Barbara

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Guest Editorial: Deep Learning For Genomics von Di Camillo, Barbara, Nicosia, Giuseppe

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Comparison of microbiome samples: methods and computational challenges von Comin, Matteo, Di Camillo, Barbara, Pizzi, Cinzia, Vandin, Fabio

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metaSPARSim: a 16S rRNA gene sequencing count data simulator von Patuzzi, Ilaria, Baruzzo, Giacomo, Losasso, Carmen, Ricci, Antonia, Di Camillo, Barbara

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Guest Editorial Data Science in Smart Healthcare: Challenges and Opportunities von Di Camillo, Barbara, Nicosia, Giuseppe, Buffa, Francesca, Lo, Benny

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Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism von Fadista, João, Vikman, Petter, Laakso, Emilia Ottosson, Mollet, Inês Guerra, Esguerra, Jonathan Lou, Taneera, Jalal, Storm, Petter, Osmark, Peter, Ladenvall, Claes, Prasad, Rashmi B., Hansson, Karin B., Finotello, Francesca, Uvebrant, Kristina, Ofori, Jones K., Di Camillo, Barbara, Krus, Ulrika, Cilio, Corrado M., Hansson, Ola, Eliasson, Lena, Rosengren, Anders H., Renström, Erik, Wollheim, Claes B., Groop, Leif

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A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims von Longato, Enrico, Fadini, Gian Paolo, Sparacino, Giovanni, Avogaro, Angelo, Tramontan, Lara, Di Camillo, Barbara

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Better cardiovascular outcomes of type 2 diabetic patients treated with GLP-1 receptor agonists versus DPP-4 inhibitors in clinical practice von Longato, Enrico, Di Camillo, Barbara, Sparacino, Giovanni, Tramontan, Lara, Avogaro, Angelo, Fadini, Gian Paolo

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Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits’ text von Guazzo, Alessandro, Longato, Enrico, Fadini, Gian Paolo, Morieri, Mario Luca, Sparacino, Giovanni, Di Camillo, Barbara

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