Prediction of cell position using single-cell transcriptomic data: an iterative procedure [version 2; peer review: 2 approved]
Single-cell sequencing reveals cellular heterogeneity but not cell localization. However, by combining single-cell transcriptomic data with a reference atlas of a small set of genes, it would be possible to predict the position of individual cells and reconstruct the spatial expression profile of th...
Main Authors: | Andrés M. Alonso, Alejandra Carrea, Luis Diambra |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2020-04-01
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Series: | F1000Research |
Online Access: | https://f1000research.com/articles/8-1775/v2 |
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