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BMC Bioinformatics|February 10, 2011
A novel approach to the clustering of microarray data via nonparametric density estimationRiccardo De Bin, Davide RissoMethods in Molecular Biology (Clifton, N.J.)|April 9, 2021
Normalization of Single-Cell RNA-Seq DataDavide RissoThe Annals of Applied Statistics|October 9, 2023
CO-CLUSTERING OF SPATIALLY RESOLVED TRANSCRIPTOMIC DATAAndrea Sottosanti, Davide RissoFrontiers in Molecular Biosciences|December 14, 2017
A Matter of Taste: Lineage-Specific Loss of Function of Taste Receptor Genes in VertebratesMarco Antinucci, Davide RissoBioinformatics (Oxford, England)|February 9, 2021
Per-sample standardization and asymmetric winsorization lead to accurate clustering of RNA-seq expression profilesDavide Risso, Stefano Maria PagnottaThe British Journal of Nutrition|February 25, 2024
Does sweetness exposure drive 'sweet tooth'?David J Mela, Davide RissoNutrients|October 30, 2020
Alteration, Reduction and Taste Loss: Main Causes and Potential Implications on Dietary HabitsDavide Risso, Dennis Drayna, Gabriella MoriniBioinformatics (Oxford, England)|March 10, 2022
NewWave: a scalable R/Bioconductor package for the dimensionality reduction and batch effect removal of single-cell RNA-seq dataFederico Agostinis, Chiara Romualdi, Gabriele Sales, et al.Bioinformatics (Oxford, England)|December 8, 2022
benchdamic: benchmarking of differential abundance methods for microbiome dataMatteo Calgaro, Chiara Romualdi, Davide Risso, et al.Pageof 12