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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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發(fā)表于 2025-3-21 18:17:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Non-coding RNAs in Complex Diseases
副標題A Bioinformatics Per
編輯Xia Li,Juan Xu,Yunpeng Zhang
視頻videohttp://file.papertrans.cn/668/667076/667076.mp4
概述Offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from the view of bioinformatics.Conveys state-of-the-art bioinformatics tools and methods
叢書名稱Advances in Experimental Medicine and Biology
圖書封面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
描述.This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas..Prof. Xia Li is a Professor and the Dean o
出版日期Book 2018
關鍵詞RNA bioinformatics; lncRNA-disease associations; non-coding RNAs; ncRNA; genome-wide discovery; computati
版次1
doihttps://doi.org/10.1007/978-981-13-0719-5
isbn_softcover978-981-13-4486-2
isbn_ebook978-981-13-0719-5Series ISSN 0065-2598 Series E-ISSN 2214-8019
issn_series 0065-2598
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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Book 2018. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in d
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Computational Inferring of Risk Subpathways Mediated by Dysfunctional Non-coding RNAs,nd pathway topologies. By applying methods to several disease datasets, we confirmed that our methods is effective in identifying risk subpathways and also can help uncover key non-coding RNAs in diseases. Additionally, reproducibility and robustness analysis demonstrated our methods are reliable.
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