Article

Unsupervised Spatially Embedded Deep Representation of Spatial Transcriptomics

2021-06-16

Abstract excerpt

Spatial transcriptomics enable us to dissect tissue heterogeneity and map out inter-cellular communications. Optimal integration of transcriptomics data and associated spatial information is essential towards fully exploiting the data. We present SEDR, an unsupervised spatially embedded deep representation of both transcript and spatial information. The SEDR pipeline uses a deep autoencoder to construct a low-dime...

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Literature Corpus work: 687991bb-8e5e-541a-b577-fd1559cbefd7
DOI: 10.1101/2021.06.15.448542

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