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Scientific Reports|November 7, 2025
SHAP-based binarization enhances metataxonomic machine learning with application to gut microbiota of inflammatory bowel diseaseYoungro Lee, Jongmo Seo, Barbara Di CamilloBioinformatics (Oxford, England)|December 23, 2016
bnstruct: an R package for Bayesian Network structure learning in the presence of missing dataAlberto Franzin, Francesco Sambo, Barbara Di CamilloJournal of Healthcare Informatics Research|April 13, 2022
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory DataSebastian Daberdaku, Erica Tavazzi, Barbara Di CamilloGigascience|October 26, 2023
Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel diseaseYoungro Lee, Marco Cappellato, Barbara Di CamilloPlos Computational Biology|September 8, 2022
Investigating differential abundance methods in microbiome data: A benchmark studyMarco Cappellato, Giacomo Baruzzo, Barbara Di CamilloIEEE/ACM Transactions on Computational Biology and Bioinformatics|May 16, 2012
Qualitative reasoning for biological network inference from systematic perturbation experimentsSilvana Badaloni, Barbara Di Camillo, Francesco SamboJournal of Biomedical Informatics|July 12, 2020
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event modelsEnrico Longato, Martina Vettoretti, Barbara Di CamilloFrontiers in Genetics|June 8, 2017
Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis MethodsAlessandra Dal Molin, Giacomo Baruzzo, Barbara Di CamilloMethods in Cell Biology|July 19, 2025
Comprehensive prediction of tumor neoantigens with nextNEOpiMarkus Ausserhofer, Dietmar Rieder, Francesca FinotelloMethods in Molecular Biology (Clifton, N.J.)|March 4, 2020
In Silico Cell-Type Deconvolution Methods in Cancer ImmunotherapyGregor Sturm, Francesca Finotello, Markus ListPageof 19