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Titlebook: Non-coding RNAs in Complex Diseases; A Bioinformatics Per Xia Li,Juan Xu,Yunpeng Zhang Book 2018 Springer Nature Singapore Pte Ltd. 2018 RN

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Aberrant Epigenetic Modifications of Non-coding RNAs in Human Disease,s underlie some human disorders ranging from neurodegeneration to cancer. To characterize the epigenetic modifications of lncRNAs, we first constructed the histone modification maps of various epigenetic markers across different cell lines. Then, we developed a method to identify epigenetically regu
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Computationally Modeling ncRNA-ncRNA Crosstalk,iological 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 differ
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Computational Identification of Cross-Talking ceRNAs,A-ceRNA networks provide another type of function for protein-coding mRNAs, which link non-coding RNAs such as miRNA, long non-coding RNA, pseudogenes and circular RNAs. In this chapter, we will introduce the definition of ceRNAs, mainly provide the computational method to predict ceRNA interactions
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Prediction of Non-coding RNAs as Drug Targets,ression of miRNAs in a variety of diseases. Targeting the dysregulated miRNAs with small molecule drugs has become a novel therapeutics for many human diseases, especially cancers. In this chapter, we introduced a series of computational studies for prediction of small molecule and miRNA association
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Methods for Identification of Protein-RNA Interaction, generation high-throughput sequencing technologies, a variety of methods have been proposed to comprehensively identify RNA-protein interactions. In this chapter, we discussed the traditional and state-of-the-art technologies that were used to study RNA-protein interaction, including experimental a
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Juan Xu,Zishan Wang,Xiyun Jin,Lili Li,Tao Panabolic differential equations, physics, biology, evolutionary computing, nonlinear filtering and elsewhere. We have tried to give an “exposé” of the mathematical theory that is useful for analyzing the convergence of such genetic-type and particle approximating models including law of large numbers,
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