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Briefings in Functional Genomics|September 21, 2014
Measuring differential gene expression with RNA-seq: challenges and strategies for data analysisFrancesca Finotello, Barbara Di CamilloBriefings in Bioinformatics|February 3, 2018
How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectivesAlessandra Dal Molin, Barbara Di CamilloBMC Bioinformatics|February 8, 2022
Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies resultsGiacomo Baruzzo, Ilaria Patuzzi, Barbara Di CamilloBioinformatics (Oxford, England)|January 19, 2022
Identify, quantify and characterize cellular communication from single-cell RNA sequencing data with scSeqCommGiacomo Baruzzo, Giulia Cesaro, Barbara Di CamilloBioinformatics (Oxford, England)|October 11, 2019
SPARSim single cell: a count data simulator for scRNA-seq dataGiacomo Baruzzo, Ilaria Patuzzi, Barbara Di CamilloBriefings in Bioinformatics|December 28, 2016
Measuring the diversity of the human microbiota with targeted next-generation sequencingFrancesca Finotello, Eleonora Mastrorilli, Barbara Di CamilloAnnals of the New York Academy of Sciences|April 8, 2009
A gene network simulator to assess reverse engineering algorithmsBarbara Di Camillo, Gianna Toffolo, Claudio CobelliScientific 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 CamilloBMC Genomics|June 6, 2015
FunPat: function-based pattern analysis on RNA-seq time series dataTiziana Sanavia, Francesca Finotello, Barbara Di CamilloJournal of Healthcare Informatics Research|April 13, 2022
A Combined Interpolation and Weighted <i>K</i>-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory DataSebastian Daberdaku, Erica Tavazzi, Barbara Di CamilloPageof 18