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- W2890191787 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." @default.
- W2890191787 created "2018-09-27" @default.
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- W2890191787 date "2018-01-01" @default.
- W2890191787 modified "2023-10-16" @default.
- W2890191787 title "Computationally Modeling ncRNA-ncRNA Crosstalk" @default.
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- W2890191787 doi "https://doi.org/10.1007/978-981-13-0719-5_8" @default.
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