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Results: 2
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Analysis of single-cell RNA sequencing data based on autoencoders.
Andrea Tangherloni
,
Federico Ricciuti
,
Daniela Besozzi
,
Pietro Liò
,
Ana Cvejic
Apr 21, 2021
Autoencoders
Batch correction
Clustering
Data integration
dimensionality reduction
scRNA-seq
Machine Learning
RNA
Sequence Analysis
RNA
Single-Cell Analysis
Exome Sequencing
Published by:
View Article
Analysis of single-cell RNA sequencing data based on autoencoders
Andrea Tangherloni
,
Federico Ricciuti
,
Daniela Besozzi
,
Pietro Liò
,
Ana Cvejic
Jun 08, 2021
Abstract: Background: Single-cell RNA sequencing (scRNA-Seq) experiments are gaining ground to study the molecular processes that drive normal development as well as the onset of different pathologies. Finding an effective and...
Research
Autoencoders
scRNA-seq
dimensionality reduction
Clustering
Batch correction
Data integration
Published by: