Article
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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- fe7c4c69-870c-5a9d-86b4-bcb824b4a45c
- DOI
- 10.21203/rs.3.pex-2322/v1
