Functional similarity

Prediction of disease-related microRNAs by incorporating functional similarity and common association information

K. Han, Xuan, P., Ding, J., Zhao, Z. J., Hui, L., and Zhong, Y. L., Prediction of disease-related microRNAs by incorporating functional similarity and common association information, vol. 13, pp. 2009-2019, 2014.

The identification of human disease-related microRNAs (miRNAs) is important for understanding the pathogenesis of diseases, but to do this experimentally is a costly and time-consuming process. Computational prediction of disease-related miRNA candidates is a valuable complement to experimental studies. It is essential to develop an effective prediction method to provide reliable candidates for subsequent biological experiments. In this study, we constructed a miRNA functional similarity network based on calculation of the functional similarity between each pair of miRNAs.

Expression profile analysis reveals putative prostate cancer-related microRNAs

H. Song, Liu, Y., Pan, J., and Zhao, S. T., Expression profile analysis reveals putative prostate cancer-related microRNAs, vol. 12, pp. 4934-4943, 2013.

Annotation of prostate cancer (PC) genomes provides a foundation for discoveries that can improve the understanding and treatment of the disease. Therefore, in the present study, we used the Student t-test to identify differentially expressed PC-related mRNAs and microRNAs (miRNAs). Then, we performed interrelated mapping of miRNA target genes between abnormally expressed mRNAs and miRNAs, and explored mRNA-target miRNA interrelated pairs to explain the biological functions of miRNA during the progression of PC, thus revealing the occurrence of miRNA-mediated PC.

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