DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial Imaging Data
Single-cell RNA sequencing (scRNA-seq) data provides unprecedented information on cell fate decisions; however, the spatial arrangement of cells is often lost. Several recent computational methods have been developed to impute spatial information onto a scRNA-seq dataset through analyzing known spat...
Main Authors: | Floyd Maseda, Zixuan Cang, Qing Nie |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-03-01
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Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2021.636743/full |
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