In Silico Study of Expression Profiles Correlation between MicroRNAs and Cancerous Genes

We investigate the possibility that microRNA can act as an oncogene or tumor suppressor gene. Experimentally verified microRNA target genes information (TarBase) are integrated with microRNA and mRNA expression data (NCI-60) to study this hypothesis, in which the Pearson correlation and Spearman rank coefficients are used to quantify these relations for nine cancer types. Correlation coefficients with negative values are used to filter out microRNA targets. Biological annotations of the targets are supplied by using the TAG, GO and KEGG records. The above information are utilized to provide a platform in identifying potential cancer related microRNAs. A web based interface is set up for information query and

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