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Updated: Feb 16, 2026

Isolation and Transcriptome Analysis of Plant Cell Types
Published on: April 7, 2023
Protocollo per eseguire studi di associazione su tutto il trascrittoma specifici per tipo di cellula utilizzando il
Yichao Zhou1, Sarah Sumner2, Temidayo Adeluwa1
1Committee of Genetic, Genomics, and Systems Biology, University of Chicago, Chicago, IL, USA.
Abstract:
The scPrediXcan framework enables cell-type-specific transcriptome-wide association studies (TWASs) by integrating deep learning-based prediction of gene expression from DNA sequence and epigenetic features. We present a protocol for scPrediXcan: training cell-type-specific models for expression prediction, predicting personalized expression, and testing associations with genome-wide association study (GWAS) summary statistics. This framework produces scalable TWAS models for different cellular contexts with minimal computational burden. For complete details on the use and execution of this protocol, please refer to Zhou et al.1.
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