DGAT: a dual-graph attention network for inferring spatial protein landscapes from transcriptomics

Abstract Spatial transcriptomics (ST) technologies provide genome-wide transcriptomic profiles in tissue context but lack direct protein-level measurements, which are critical for interpreting cellular function and microenvironmental organization. To bridge this gap, we develop DGAT (Dual-Graph Atte...

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主要な著者:	Haoyu Wang, Brittany Cody, Manuel Saavedra, Lanuza A. P. Faccioli, Rodrigo M. Florentino, Alejandro Soto-Gutierrez, Hatice Ulku Osmanbeyoglu
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2026-05-01
シリーズ:	Nature Communications
オンライン･アクセス:	https://doi.org/10.1038/s41467-026-73114-z
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