iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation

• Published in: PLoS computational biology Vol. 16; no. 5; p. e1007872
• Main Authors: Zheng, Kai, You, Zhu-Hong, Li, Jian-Qiang, Wang, Lei, Guo, Zhen-Hao, Huang, Yu-An
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.05.2020; Public Library of Science (PLoS)
• Subjects: Authorship; Biological activity; Breast cancer; Circular RNA; Colorectal cancer; Computer and Information Sciences; Datasets; Disease; Diseases; Engineering and Technology; Fractals; Gastric cancer; Genetic disorders; Genetic susceptibility; Homology; Medicine and Health Sciences; Nucleic acids; Pathogenesis; Physical Sciences; Physics; Prediction models; Representations; Research and Analysis Methods; Research methodology; Ribonucleic acid; Risk factors; RNA; Semantics; Software; China; Hong Kong China

Found in recent research, tumor cell invasion, proliferation, or other biological processes are controlled by circular RNA. Understanding the association between circRNAs and diseases is an important way to explore the pathogenesis of complex diseases and promote disease-targeted therapy. Most metho...