Risso D - Search Results

1

NewWave: a scalable R/Bioconductor package for the dimensionality reduction and batch effect removal of single-cell RNA-seq data.

Agostinis F, Romualdi C, Sales G, Risso D. Agostinis F, et al. Among authors: risso d. Bioinformatics. 2022 Apr 28;38(9):2648-2650. doi: 10.1093/bioinformatics/btac149. Bioinformatics. 2022. PMID: 35266509 Free PMC article.

2

Discontinuation of anti-epileptic therapy: a retrospective study of 86 children and adolescents.

Matricardi A, Bertamino F, Risso D. Matricardi A, et al. Among authors: risso d. Ital J Neurol Sci. 1995 Dec;16(9):613-22. doi: 10.1007/BF02230911. Ital J Neurol Sci. 1995. PMID: 8838787 Clinical Trial.

3

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

Chiogna M, Massa MS, Risso D, Romualdi C. Chiogna M, et al. Among authors: risso d. BMC Bioinformatics. 2009 Feb 13;10:61. doi: 10.1186/1471-2105-10-61. BMC Bioinformatics. 2009. PMID: 19216778 Free PMC article.

4

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

Bisognin A, Coppe A, Ferrari F, Risso D, Romualdi C, Bicciato S, Bortoluzzi S. Bisognin A, et al. Among authors: risso d. BMC Bioinformatics. 2009 Jun 29;10:201. doi: 10.1186/1471-2105-10-201. BMC Bioinformatics. 2009. PMID: 19563634 Free PMC article.

5

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

Risso D, Massa MS, Chiogna M, Romualdi C. Risso D, et al. Bioinformatics. 2009 Oct 15;25(20):2685-91. doi: 10.1093/bioinformatics/btp443. Epub 2009 Jul 23. Bioinformatics. 2009. PMID: 19628505

6

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

Martini P, Risso D, Sales G, Romualdi C, Lanfranchi G, Cagnin S. Martini P, et al. Among authors: risso d. BMC Bioinformatics. 2011 Apr 11;12:92. doi: 10.1186/1471-2105-12-92. BMC Bioinformatics. 2011. PMID: 21481242 Free PMC article.

7

Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data.

Calgaro M, Romualdi C, Waldron L, Risso D, Vitulo N. Calgaro M, et al. Among authors: risso d. Genome Biol. 2020 Aug 3;21(1):191. doi: 10.1186/s13059-020-02104-1. Genome Biol. 2020. PMID: 32746888 Free PMC article.

8

Editorial: Multi-omic Data Integration in Oncology.

Finotello F, Calura E, Risso D, Hautaniemi S, Romualdi C. Finotello F, et al. Among authors: risso d. Front Oncol. 2020 Sep 15;10:1768. doi: 10.3389/fonc.2020.01768. eCollection 2020. Front Oncol. 2020. PMID: 33042824 Free PMC article. No abstract available.

9

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

Risso D, Pagnotta SM. Risso D, et al. Bioinformatics. 2021 Aug 25;37(16):2356-2364. doi: 10.1093/bioinformatics/btab091. Bioinformatics. 2021. PMID: 33560368 Free PMC article.

10

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

Borella M, Martello G, Risso D, Romualdi C. Borella M, et al. Among authors: risso d. Bioinformatics. 2021 Dec 22;38(1):164-172. doi: 10.1093/bioinformatics/btab641. Bioinformatics. 2021. PMID: 34499096 Free PMC article.

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