Improved Prediction of Smoking Status via Isoform-Aware RNA-seq Deep Learning Models
Z. Wang, A. Masoomi, Z. Xu, A. Boueiz, S. Lee, T. Zhao, M. Cho, C. P. Hersh, E. K. Silverman, J. Dy, P. Castaldi
The paper develops deep learning models using RNA-seq data that incorporate isoform and exon information to improve smoking status prediction, achieving higher AUC than gene-level models.
bioRxiv · Sep 9, 2020 · PreprintGenomics