Article

scGAT: A Graph Attention Network Approach for Single-Cell Multi-Omics Data Analysis and Biomarker Discovery

2025-03-18

Abstract excerpt

<title>Abstract</title> <p>Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cellular heterogeneity; however, many analytical methods focus on differential expression, overlooking intercellular interactions and disease progression. Here, we present scGAT, a graph attention network (GAT)-based approach trained on scRNA-seq data to classify cell states and extract disease-associated biomar...

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Literature Corpus work: 036d9deb-3799-5958-96e8-3e5b53fb2e9e
DOI: 10.21203/rs.3.rs-6217595/v1

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