Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

Most predictive models based on gene expression data do not leverage information related to gene splicing, despite the fact that splicing is a fundamental feature of eukaryotic gene expression. Cigarette smoking is an important environmental risk factor for many diseases, and it has profound effects...

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Bibliographic Details
Main Authors: Zifeng Wang, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael Cho, Edwin K Silverman, Craig Hersh, Jennifer Dy, Peter J Castaldi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-10-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1009433

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https://doi.org/10.1371/journal.pcbi.1009433

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