Apr 16, 2024 · The STAGATE [31] method incorporates graph attention mechanisms into encoder and decoder operations, interpreting spatial domains in spatial ...
Mar 27, 2024 · In this study, we introduce AttentionVGAE (AVGN), which integrates slice images, spatial information and raw gene expression while calibrating ...
May 28, 2024 · However, the precise identification of spatial domains within tissues remains challenging. In this study, we introduce AttentionVGAE (AVGN), ...
Abstract The latest breakthroughs in spatially resolved transcriptomics technology offer comprehensive opportunities to delve into gene expression patterns ...
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What is spatial transcriptomics differential expression analysis?
What is spatially resolved transcriptomics?
Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics ... attention focus on local and global structures by ...
Oct 30, 2023 · Here we propose a prior-based self-attention framework for spatial transcriptomics (PAST), a variational graph convolutional autoencoder for ...
Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics ... variational graph autoencoder with multi-head attention ...
May 6, 2024 · Mengqiu Wang, Qianjin Guo : Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics. Briefings ...
Apr 1, 2022 · To this end, we develop a graph attention auto-encoder framework STAGATE to accurately identify spatial domains by learning low-dimensional ...
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Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics. Lixin Lei et al., Briefings in Bioinformatics, 2024. Powered ...