Abstract
Our understanding of complex gene regulatory networks have been improved by the discovery of ncRNA-ncRNA crosstalk in normal and disease-specific physiological conditions. Previous studies have proposed numerous approaches for constructing ncRNA-ncRNA networks via ncRNA-mRNA regulation, functional information, or phenomics alone, or by combining heterogeneous data. Furthermore, it has been shown that ncRNA-ncRNA crosstalk can be rewired in different tissues or specific diseases. Therefore, it is necessary to integrate transcriptome data to construct context-specific ncRNA-ncRNA networks. In this chapter, we elucidated the commonly used ncRNA-ncRNA network modeling methods, and highlighted the need to integrate heterogeneous multi-mics data. Finally, we suggest future directions for studies of ncRNAs crosstalk. This comprehensive description and discussion elucidated in this chapter will provide constructive insights into ncRNA-ncRNA crosstalk.
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Xu, J., Bai, J., Xiao, J. (2018). Computationally Modeling ncRNA-ncRNA Crosstalk. In: Li, X., Xu, J., Xiao, Y., Ning, S., Zhang, Y. (eds) Non-coding RNAs in Complex Diseases. Advances in Experimental Medicine and Biology, vol 1094. Springer, Singapore. https://doi.org/10.1007/978-981-13-0719-5_8
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DOI: https://doi.org/10.1007/978-981-13-0719-5_8
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