Davide Risso

According to our database, Davide Risso authored at least 14 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improving replicability in single-cell RNA-Seq cell type discovery with Dune.

Hector Roux de Bézieux, Kelly Street, Stephan Fischer, Koen Van den Berge, Rebecca Chance, Davide Risso, Jesse A. Gillis, John Ngai, Elizabeth Purdom, Sandrine Dudoit

BMC Bioinform., December, 2024

2023

benchdamic: benchmarking of differential abundance methods for microbiome data.

Matteo Calgaro, Chiara Romualdi, Davide Risso, Nicola Vitulo

Bioinform., January, 2023

Curated single cell multimodal landmark datasets for R/Bioconductor.

Kelly B. Eckenrode, Dario Righelli, Marcel Ramos, Ricard Argelaguet, Christophe Vanderaa, Ludwig Geistlinger, Aedín C. Culhane, Laurent Gatto, Vincent J. Carey, Martin Morgan, Davide Risso, Levi Waldron

PLoS Comput. Biol., 2023

2022

SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor.

Dario Righelli, Lukas M. Weber, Helena L. Crowell, Brenda Pardo, Leonardo Collado-Torres, Shila Ghazanfar, Aaron T. L. Lun, Stephanie C. Hicks, Davide Risso

Bioinform., 2022

2021

mbkmeans: Fast clustering for single cell data using mini-batch k-means.

Stephanie C. Hicks, Ruoxi Liu, Yuwei Ni, Elizabeth Purdom, Davide Risso

PLoS Comput. Biol., 2021

Per-sample standardization and asymmetric winsorization lead to accurate clustering of RNA-seq expression profiles.

Davide Risso, Stefano Maria Pagnotta

Bioinform., 2021

PsiNorm: a scalable normalization for single-cell RNA-seq data.

Matteo Borella, Graziano Martello, Davide Risso, Chiara Romualdi

Bioinform., 2021

2018

clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets.

Davide Risso, Liam Purvis, Russell B. Fletcher, Diya Das, John Ngai, Sandrine Dudoit, Elizabeth Purdom

PLoS Comput. Biol., 2018

2011

GC-Content Normalization for RNA-Seq Data.

Davide Risso, Katja Schwartz, Gavin Sherlock, Sandrine Dudoit

BMC Bioinform., 2011

Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in individual and meta-analysis studies.

Paolo G. V. Martini, Davide Risso, Gabriele Sales, Chiara Romualdi, Gerolamo Lanfranchi, Stefano Cagnin

BMC Bioinform., 2011

A novel approach to the clustering of microarray data via nonparametric density estimation.

Riccardo De Bin, Davide Risso

BMC Bioinform., 2011

2009

A comparison on effects of normalisations in the detection of differentially expressed genes.

Monica Chiogna, Maria Sofia Massa, Davide Risso, Chiara Romualdi

BMC Bioinform., 2009

A-MADMAN: Annotation-based microarray data meta-analysis tool.

Andrea Bisognin, Alessandro Coppe, Francesco Ferrari, Davide Risso, Chiara Romualdi, Silvio Bicciato, Stefania Bortoluzzi

BMC Bioinform., 2009

A modified LOESS normalization applied to microRNA arrays: a comparative evaluation.

Davide Risso, Maria Sofia Massa, Monica Chiogna, Chiara Romualdi

Bioinform., 2009