What is it about?
Identification of mRNA-miRNA interaction is always very difficult because of numerous possible pairs. In this paper, I demonstrate that PCA based unsupervised FE can identify mRNA-miRNA pairs among multiple cancers effectively.
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Why is it important?
Usually, before identifying mRNA-miRNA pairs, mRNAs/miRNAs that exhibit differential expression between patients and healthy controls are screened. Although this screening criteria must be tuned from samples to samples, I demonstrate that PCA based unsupervised FE is free from this tuning problems, i.e., common criterion can be applied to multiple cancers.
Perspectives
I have used PCA based unsupervised FE to multiple bioinformatic problems. I demonstrated that this methodology can be applied to identification miRNA-mRNA expression using gene expressions.
Professor Y-h. Taguchi
Chuo Daigaku
Read the Original
This page is a summary of: Identification of More Feasible MicroRNA–mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction, International Journal of Molecular Sciences, May 2016, MDPI AG,
DOI: 10.3390/ijms17050696.
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