Yulian Ding

Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon request. The data are not publicly available due to privacy or ethical restrictions. References , , and . 2015. “Mandatory Labels, Taxes and Market Forces: An Empirical Evaluation of Fat Policies.” Journal of Health Economics 43: 27–44. https://doi.org/10.1016/j.jhealeco.2015.06.003. , and . 2016.

1 INTRODUCTION Identifying the biomolecule-disease associations can uncover the pathogenesis of complex disease and thus greatly facilitate the diagnosis, treatment, prognosis and prevention of such diseases.1 Biomolecules include proteins, ncRNAs and so on. The current methods for predicting ncRNA-disease associations mainly focus on miRNA-disease association (MDA), circRNA-disease association (CDA) and lncRNA-disease association (LDA).