scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework

Summary: Transcriptome-wide association studies (TWASs) help identify disease-causing genes but often fail to pinpoint disease mechanisms at the cellular level because of the limited sample sizes and sparsity of cell-type-specific expression data. Here, we propose scPrediXcan, which integrates state...

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Principais autores:	Yichao Zhou, Temidayo Adeluwa, Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner, Hyunki Kim, Saideep Gona, Festus Nyasimi, Rohit Kulkarni, Joseph E. Powell, Ravi Madduri, Boxiang Liu, Mengjie Chen, Hae Kyung Im
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2025-05-01
סדרה:	Cell Genomics
נושאים:	TWAS GWAS PrediXcan single-cell single-cell RNA-seq deep learning
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S2666979X25001314
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