GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm

• Published in: BMC bioinformatics Vol. 24; no. 1; pp. 188 - 14
• Main Authors: Wong, Leon, Wang, Lei, You, Zhu-Hong, Yuan, Chang-An, Huang, Yu-An, Cao, Mei-Yuan
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 08.05.2023; BioMed Central; BMC
• Subjects: Algorithms; Analysis; Bioaccumulation; Cell cycle; Competing endogenous RNA (ceRNA); Computational biology; Crosslinked polymers; Crosslinking; Experiments; Gaussian kernel; Gene expression; Health aspects; Humans; Immunoprecipitation; Kernels; Link prediction; Mathematical analysis; Mathematical optimization; Methods; MicroRNA; MicroRNAs; MicroRNAs - genetics; miRNA; miRNA–lncRNA interaction; Network analysis; Next-generation sequencing; Non-coding RNA; Optimization; Performance evaluation; Prediction models; Principles; Regulatory mechanisms (biology); Reproducibility of Results; Research Design; RNA, Long Noncoding - genetics; Similarity; Software; China; Link prediction; miRNA–lncRNA interaction; Gaussian kernel; Competing endogenous RNA (ceRNA); Computational biology

The limited knowledge of miRNA-lncRNA interactions is considered as an obstruction of revealing the regulatory mechanism. Accumulating evidence on Human diseases indicates that the modulation of gene expression has a great relationship with the interactions between miRNAs and lncRNAs. However, such...