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STGMVA: clustering, imputation, and integration for spatial resolved transcriptomics using spatio-temporal gaussian mixture variational autoencoder

2023-07-26

Abstract excerpt

<title>Abstract</title> <p>Spatially resolved transcriptomics technologies enable the sequencing of gene expression profiles while preserving the spatial context. The data analysis for spatial transcriptomics comprises three fundamental components: cell type clustering, gene imputation, and multi-sample integration. In this study, we present STGMVA, a comprehensive analysis toolkit that employs a spatiotemporal g...

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Literature Corpus work
fe7c4c69-870c-5a9d-86b4-bcb824b4a45c
DOI
10.21203/rs.3.pex-2322/v1
Open publication

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STGMVA: clustering, imputation, and integration for spatial resolved transcriptomics using spatio-temporal gaussian mixture variational autoencoderDOI 10.21203/rs.3.pex-2322/v1
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