Schematic overview of SpaMWGDA.

Schematic overview of SpaMWGDA.

<p><b>(A)</b> Spatial neighborhood network construction module. <b>(B)</b> Gene expression enhancement module. <b>(C)</b> Multi-view weighted fusion GCN encoder. <b>(D)</b> ZINB decoder. <b>(E)</b> Spatial regularization constraint. &...

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Bibliografski detalji
Glavni autor:	Lin Yuan (46306) (author)
Daljnji autori:	Boyuan Meng (22607954) (author), Qingxiang Wang (2637916) (author), Chunyu Hu (12464817) (author), Cuihong Wang (429362) (author), De-Shuang Huang (396909) (author)
Izdano:	2025
Teme:	Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified level attention mechanism fixed similarity metric analyse tissue structure spatial domain identification identifying spatial domains achieved impressive results div >< p combining data augmentation view gcn encoder data augmentation spatial transcriptomics spatial information experimental results weighted fusion trajectory inference spot features source code rapid development large number key features introduce noise gene features deep learning contrastive learning cannot efficiently also show
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