Semisupervised Generative Autoencoder for Single-Cell Data

Single-cell transcriptomics offers a tool to study the diversity of cell phenotypes through snapshots of the abundance of mRNA in individual cells. Often there is additional information available besides the single-cell gene expression counts, such as bulk transcriptome data from the same tissue, or...

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Bibliographic Details

Published in:	Journal of computational biology Vol. 27; no. 8; p. 1190
Main Authors:	Trong, Trung Ngo, Mehtonen, Juha, González, Gerardo, Kramer, Roger, Hautamäki, Ville, Heinäniemi, Merja
Format:	Journal Article
Language:	English
Published:	United States 01.08.2020
Subjects:	generative deep learning autoencoder variational protein semisupervised single-cell
ISSN:	1557-8666, 1557-8666
Online Access:	Get more information
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