Author

Federico Ricciuti

University of Milano-Bicocca

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Biology Disciplines

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Bioinformatics· 1

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Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

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Ana CvejiciD· 1 shared Andrea TangherloniiD· 1 shared Daniela BesozziiD· 1 shared Píetro LióiD· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperBioinformatics

Ana CvejicORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 29, 2021

Analysis of single-cell RNA sequencing data basedon autoencoders

Andrea Tangherloni, Federico Ricciuti, Daniela Besozzi…·Ana Cvejic

The paper introduces scAEspy, a tool using autoencoders to improve scRNA-seq data integration and cell-type identification by outperforming existing batch-effect removal methods.

2 citations

scRNA-seqmachine learning (classical)

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