IDIES member and Associate Professor Hongkai Ji of the Department of Biostatistics recently published a paper in Nature Communications. Professor Hongkai Ji’s research was funded in part by the IDIES Seed Funding Program. The research group includes members of the Johns Hopkins Departments of Biostatistics and Neurology. The paper “introduces a method to predict biological samples’ gene regulatory landscape using their gene expression data,” said Professor Ji. “The method uses massive datasets generated by the ENCODE project to train prediction models”
The computational method introduced here predicts genome-wide accessible sites from gene expression data and allows the authors to build a database of regulatory element activities using publicly available transcriptome data.
–An Editor of Nature Communications
