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

Interjection

书目名称MicroRNA Cancer Regulation影响因子(影响力)




书目名称MicroRNA Cancer Regulation影响因子(影响力)学科排名




书目名称MicroRNA Cancer Regulation网络公开度




书目名称MicroRNA Cancer Regulation网络公开度学科排名




书目名称MicroRNA Cancer Regulation被引频次




书目名称MicroRNA Cancer Regulation被引频次学科排名




书目名称MicroRNA Cancer Regulation年度引用




书目名称MicroRNA Cancer Regulation年度引用学科排名




书目名称MicroRNA Cancer Regulation读者反馈




书目名称MicroRNA Cancer Regulation读者反馈学科排名

OGLE

entice

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.

难管

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.

乞讨

高贵领导

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.

Meander

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.

overrule

embolus

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.

TOXIN

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.