Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis

Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis

Background: Biological processes are based on complex networks of cells and molecules. Single cell multi-omics is a new tool aiming to provide new incites in the complex network of events controlling the functionality of the cell. Methods: Since single cell technologies provide many sample measureme...

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Bibliographic Details
Main Authors:	Luca Alessandri, Maria Luisa Ratto, Sandro Gepiro Contaldo, Marco Beccuti, Francesca Cordero, Maddalena Arigoni, Raffaele A. Calogero
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Series:	International Journal of Molecular Sciences
Subjects:	single cell RNAseq single cell ATACseq sparsely connected autoencoders gene regulatory network transcription factor miRNA
Online Access:	https://www.mdpi.com/1422-0067/22/23/12755

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