Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering
Abstract Background Accumulating studies indicates that microRNAs (miRNAs) play vital roles in the process of development and progression of many human complex diseases. However, traditional biochemical experimental methods for identifying disease-related miRNAs cost large amount of time, manpower,...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-08-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-021-01616-5 |