Application Of Maximal Information Coefficient On Identifying Differentially Expressed Micro Rna Associated With Valvular Heart Disease

8TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2014)(2014)

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摘要
Valvular heart disease (VHD) is a public-health problem. It may be helpful to get insight into the biological processes and functional disorders of VHD by analyzing miRNA expression profile. A novel statistical method, maximal information coefficient, was introduced into identifying differentially expressed miRNAs related to VHD from case-control expression profiles. This method identified 2 strongly differential expressions of miRNAs in which hsa-miR-221* was a new differentially expressed miRNA by comparing the existing work.
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