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Integration of miRNA and mRNA Expression Data for Understanding Etiology of Gynecologic Cancers

  • Sushmita PaulEmail author
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1912)

Abstract

Dysregulation of miRNA–mRNA regulatory networks is very common phenomenon in any diseases including cancer. Altered expression of biomarkers leads to these gynecologic cancers. Therefore, understanding the underlying biological mechanisms may help in developing a robust diagnostic as well as a prognostic tool. It has been demonstrated in various studies that the pathways associated with gynecologic cancer have dysregulated miRNA as well as mRNA expression. Identification of miRNA–mRNA regulatory modules may help in understanding the mechanism of altered gynecologic cancer pathways. In this regard, an existing robust mutual information-based Maximum-Relevance Maximum-Significance algorithm has been used for identification of miRNA–mRNA regulatory modules in gynecologic cancer. A set of miRNA–mRNA modules are identified first than their association with gynecologic cancer are studied exhaustively. The effectiveness of the proposed approach is compared with the existing methods. The proposed approach is found to generate more robust integrated networks of miRNA–mRNA in gynecologic cancer.

Key words

Gynecologic cancer miRNAs Genes Mutual information MRMS Ovarian cancer Cervical cancer 

Notes

Acknowledgements

This work is partially supported by the seed grant program of the Indian Institute of Technology Jodhpur, India (grant no. I/SEED/SPU/20160010). The author wants to acknowledge Mr. Shubham Talbar, Indian Institute of Technology Jodhpur, India for his contribution in implementing certain bioinformatics tools.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Bioscience & BioengineeringIndian Institute of Technology JodhpurJodhpurIndia

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