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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Opis bibliograficzny
1. autor:	Lin Yuan (46306) (author)
Kolejni autorzy:	Boyuan Meng (22607954) (author), Qingxiang Wang (2637916) (author), Chunyu Hu (12464817) (author), Cuihong Wang (429362) (author), De-Shuang Huang (396909) (author)
Wydane:	2025
Hasła przedmiotowe:	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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Opis
Streszczenie:	<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. <b>(F)</b> Downstream analysis.</p>