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Article

Prediction of Potential MicroRNA-Disease Association Using Kernelized Bayesian Matrix Factorization.

Interdisciplinary sciences, computational life sciences - 1 Dec 2021

Toprak Ahmet, Eryilmaz Dogan Esma

Abstract excerpt

MicroRNA (miRNA) molecules, which are effective in the formation and progression of many different diseases, are 18-22 nucleotides in length and make up a type of non-coding RNA. Predicting disease-related microRNAs is crucial for understanding the pathogenesis of disease and for diagnosis, treatment, and prevention of diseases. Many computational techniques have been studied and developed, as the experimental...

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PMID: 34370220
DOI: 10.1007/s12539-021-00469-w

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