Journal
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE)
Volume -, Issue -, Pages 71-78Publisher
IEEE
DOI: 10.1109/BIBE.2016.14
Keywords
principal component analysis; feature selection; Wilms tumor
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Funding
- KAKENHI [26120528]
- Grants-in-Aid for Scientific Research [26120528] Funding Source: KAKEN
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Wilms tumor is one of lethal child renal cancers, for which no known disease causing mechanisms exist. In this paper, we tried to identify possible disease causing microRNA(miRNA)-mRNA pairs (interactions) by analyzing (partially matched) miRNA/mRNA gene expression profiles with the recently proposed principal component analysis based unsupervised feature extraction. It successfully identified multiple miRNA-mRNA pairs whose biological natures are convincing. Correlation coefficients between miRNA and mRNA expression in matched parts of profiles turned out to be significantly negative. Constructed miRNA-mRNA network will be a key to understand Wilms tumor causing mechanisms.
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