A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments

Jing Gong, Kui Xu, Ziyuan Ma, Zhi John Lu, Qiangfeng Cliff Zhang

Abstract: RNA structure profiling methods suffer from missing values in RNA structurome data. Inspired by a computer vision approach, Gong and colleagues develop a deep learning method that imputes missing RNA structure scores and increases the structural coverage of the transcriptome.