IMS-CDA: Prediction of CircRNA-Disease Associations From the Integration of Multisource Similarity Information With Deep Stacked Autoencoder Model

• Published in: IEEE transactions on cybernetics Vol. 51; no. 11; pp. 5522 - 5531
• Main Authors: Wang, Lei, You, Zhu-Hong, Li, Jian-Qiang, Huang, Yu-An
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Biological activity; Biological networks; circRNA-disease association; circular RNA (circRNA); complex diseases; Disease; Diseases; Feature extraction; Kernel; Machine learning; Mathematical models; Pathogenesis; RNA; Semantics; Similarity; Support vector machines

Emerging evidence indicates that circular RNA (circRNA) has been an indispensable role in the pathogenesis of human complex diseases and many critical biological processes. Using circRNA as a molecular marker or therapeutic target opens up a new avenue for our treatment and detection of human comple...