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Titlebook: MicroRNA Cancer Regulation; Advanced Concepts, B Ulf Schmitz,Olaf Wolkenhauer,Julio Vera Book 2013 Springer Science+Business Media Dordrech

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發(fā)表于 2025-3-21 16:26:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱MicroRNA Cancer Regulation
副標(biāo)題Advanced Concepts, B
編輯Ulf Schmitz,Olaf Wolkenhauer,Julio Vera
視頻videohttp://file.papertrans.cn/633/632797/632797.mp4
概述Contributions from internationally renowned scientists from around the globe.No book available with a comparable approach and content.First hand resource for cancer related microRNA research.Provides
叢書名稱Advances in Experimental Medicine and Biology
圖書封面Titlebook: MicroRNA Cancer Regulation; Advanced Concepts, B Ulf Schmitz,Olaf Wolkenhauer,Julio Vera Book 2013 Springer Science+Business Media Dordrech
描述This edited reflects the current state of knowledge about the role of microRNAs in the formation and progression of solid tumours. The main focus lies on computational methods and applications, together with cutting edge experimental techniques that are used to approach all aspects of microRNA regulation in cancer. We are sure that the emergence of high-throughput quantitative techniques will make this integrative approach absolutely necessary in the near future. This book will be a resource for researchers starting out with cancer microRNA research, but is also intended for the experienced researcher who wants to incorporate concepts and tools from systems biology and bioinformatics into his work. Bioinformaticians and modellers are provided with a general perspective on microRNA biology in cancer, and the state-of-the-art in computational microRNA biology.
出版日期Book 2013
關(guān)鍵詞bioinformatics; cancer regulation; gene regulation; microRNA; systems biology; gene expression
版次1
doihttps://doi.org/10.1007/978-94-007-5590-1
isbn_softcover978-94-024-0079-3
isbn_ebook978-94-007-5590-1Series ISSN 0065-2598 Series E-ISSN 2214-8019
issn_series 0065-2598
copyrightSpringer Science+Business Media Dordrecht 2013
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:20:44 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:47:11 | 只看該作者
MicroRNA Target Prediction and Validation,riments where more accurate prediction of microRNA targets is more important than detecting all putative targets. We then discuss experimental methods for identifying and validating microRNA target genes, with an emphasis on the target reporter assay as the method of choice for specifically testing functional microRNA target sites.
地板
發(fā)表于 2025-3-22 06:07:30 | 只看該作者
Book 2013searcher who wants to incorporate concepts and tools from systems biology and bioinformatics into his work. Bioinformaticians and modellers are provided with a general perspective on microRNA biology in cancer, and the state-of-the-art in computational microRNA biology.
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發(fā)表于 2025-3-22 09:55:14 | 只看該作者
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發(fā)表于 2025-3-22 13:02:25 | 只看該作者
Modeling microRNA-Transcription Factor Networks in Cancer,ysis is given and then used to demonstrate the network destabilizing role of FBLs. Steps in model formulation and computer simulations are illustrated using the miR-17-92/Myc/E2F network as an example. This example possesses both negative and positive FBLs.
7#
發(fā)表于 2025-3-22 18:01:44 | 只看該作者
Coordinated Networks of microRNAs and Transcription Factors with Evolutionary Perspectives,are considered to cause significant increases in redundancy but drastically reduce the target gene repertoire, which poses the question, to what extent is miRNA-TF coordination beneficial? Evolutionary analyses provide wide perspectives on the features of miRNA-TF coordinated regulatory networks at a systems level.
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發(fā)表于 2025-3-22 23:35:01 | 只看該作者
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發(fā)表于 2025-3-23 03:53:24 | 只看該作者
Elucidating the Role of microRNAs in Cancer Through Data Mining Techniques,d the tools available on the web for target prediction and functional analysis of miRNAs..Particular emphasis is given to the integration of heterogeneous data, including target predictions and expression profiles, which can be used to infer miRNA/phenotype associations and for the generation of network models of miRNA function.
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發(fā)表于 2025-3-23 08:49:03 | 只看該作者
MicroRNA-Regulated Networks: The , for Classical Molecular Biology, the , for Systems Biology,by integrating experiments with mathematical modelling and simulation. We here introduce the foundations of the systems biology approach, the basic theoretical and computational tools used to perform model-based analyses of miRNA-regulated networks and review the scientific literature in systems biology of miRNA regulation, with a focus on cancer.
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