A novel bioinformatics approach to reveal the role of circadian oscillations in AD development
Zhiwei Ji, Dazhi Shang, Pora Kim, Mengyuan Yang, Sijia Wu, Weiling Zhao, Eunju Kim, Marvin Wirianto, Zheng Chen, Seung Hee Yoo, Xiaobo Zhou
This study introduces ESOCVD, a computational platform to detect circadian gene expression patterns in AD using untimed transcriptome data, revealing five circadian alteration patterns in AD patients.
bioRxiv · Jul 16, 2020 · PreprintBioinformatics