Prediction and Analysis of Human MicroRNA Regulatory Modules

MicroRNAs are a family of small, non-coding RNAs that regulate gene expression in a sequence-specific manner. We propose a computational method to predict miRNA regulatory modules or groups of miRNAs and target genes that are believed to participate cooperatively in post-transcriptional gene regulation. We tested our method with the human genes and miRNAs, predicting 431 miRNA regulatory modules. The validations of predicted modules with the literature and Gene Ontology show that the genes in the modules appear to be closely related in specific biological processes, such as gene regulation involved in various cancers.


Published in:
Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2005)), 4799-4802
Presented at:
27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2005), Shanghai, China, September 1-4, 2005
Year:
2005
Laboratories:




 Record created 2005-08-10, last modified 2018-03-17

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Slides_Yoon_Prediction_Shanghai_2005 - Download fulltextPDF
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