Article

Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

2022-02-10

Abstract excerpt

Spatially resolved transcriptomics (SRT) technology enables us to gain novel insights into tissue architecture and cell development, especially tumors. However, the lack of effective methods for exploiting biological contexts (e.g., global position information) and multi-view features has severely hindered the disentangling ability for tissue heterogeneity. Here, we proposed stMVC, a multi-view graph collaborative...

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Literature Corpus work: 600cbb07-c46e-5d14-9d06-8640d751d4a0
DOI: 10.21203/rs.3.rs-1287670/v1

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