Article

DenoiseST: A dual-channel unsupervised deep learning-based denoising method to identify spatial domains and functionally variable genes in spatial transcriptomics

2024-06-06

Abstract excerpt

<title>Abstract</title> <p>Spatial transcriptomics provides a unique opportunity for understanding cellular organization and function in a spatial context. However, spatial transcriptome exists the problem of dropout noise, exposing a major challenge for accurate downstream data analysis. Here, we proposed DenoiseST, a dual-channel unsupervised adaptive deep learning-based denoising method for data imputing, clus...

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Literature Corpus work: 83b7a656-6970-57d1-ae2d-c176adb14652
DOI: 10.21203/rs.3.rs-4470472/v1

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