CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis

CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis

Abstract Background The rise of spatial transcriptomics technologies is leading to new insights about how gene regulation happens in a spatial context. Determining which genes are expressed in similar spatial patterns can reveal gene regulatory relationships across cell types in a tissue. However, m...

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Bibliographic Details
Main Authors: Yang Xu, Rachel Patton McCord
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Bioinformatics
Subjects:
Spatial transcriptomics
Gene clustering
Convolutional neural network
Online Access:https://doi.org/10.1186/s12859-021-04314-1

Internet

https://doi.org/10.1186/s12859-021-04314-1

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