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SpaMOAL is a deep learning method that enables accurate spatial domain identification from multi-omics data
Loading metrics Open Access Peer-reviewed Methods and Resources Methods and Resources report novel methods, substantial improvements to current methodologies, or informational datasets. See Journal Information » ? This is an uncorrected proof. Citation: Wang J, Huo Y, Zhao R, Pan Y, Wu J, Wang H, et al. (2026) SpaMOAL is a deep learning method that enables accurate spatial domain identification from multi-omics data. PLoS Biol 24(9): e3003690.
Spatial transcriptomics data and analytical methods: An updated perspective
Introduction The success of next-generation sequencing (NGS) has revolutionized the omics field.(p1), This has led to the advancement of technologies, including single-cell RNA sequencing (scRNA-seq), which reveals complicated and uncommon cell populations, uncovering the regulatory links between genes.(p1),(p2) Over the years, scRNA-seq technology combined with other omics data has undergone exponential growth, providing the insights into the mechanisms of homeostatic physiology and complex...
Development and Experimental Validation of a Novel Prognostic Signature for Gastric Cancer
1. Introduction Gastric cancer (GC) is a leading cause of cancer morbidity and mortality worldwide [1]. According to GLOBOCAN 2020, there were about 1,089,103 new cases of gastric cancer patients (5.6% of the total cancer burden) [1]. Disease progression and a lack of effective treatment cause most of the mortality [2]. Therefore, preventing “high-risk” GC is the key to improving clinical outcomes.
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