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MIRTFnet: Analysis of miRNA regulated transcription factors

Recent technological advances that led to ‘omics’ revolution have enabled large-scale data generation in different areas of biology. Thousands of high-throughput datasets are available that contain the expression levels of all genes of an organism under various experimental conditions. Expression of each gene is a complex process that requires coordination of many factors for maintaining the basic mechanisms of development and controlled by two important classes of regulators: microRNAs (miRNAs) and transcription factors (TFs).

Based on protein-protein interactions, miRNA-targets and TF-targets, we constructed transfection experiment specific models that connect the transfecting miRNA via causal relationships to the TFs that were detected as active using the proposed statistical tests.



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