Titlebook: Gene Network Inference; Verification of Meth Alberto Fuente Book 2013 Springer-Verlag Berlin Heidelberg 2013 Gene Network Inference.Gene Ne

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书目名称Gene Network Inference影响因子(影响力)




书目名称Gene Network Inference影响因子(影响力)学科排名




书目名称Gene Network Inference网络公开度




书目名称Gene Network Inference网络公开度学科排名




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书目名称Gene Network Inference被引频次学科排名




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书目名称Gene Network Inference年度引用学科排名




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书目名称Gene Network Inference读者反馈学科排名

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Differential Equation Based Reverse-Engineering Algorithms: Pros and Cons, transcription induced by an external perturbation, such as gene overexpression/downregulation or treatment with a drug. Reverse-engineering algorithms based on ODEs require a choice of a functional form describing the effect of a regulator on its target genes. Here, we focused on an ODE-based rever

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Gene Regulatory Network Inference from Systems Genetics Data Using Tree-Based Methods,t to solve this problem, the idea of systems genetics is to exploit the natural variations that exist between the DNA sequences of related individuals and that can represent the randomized and multifactorial perturbations necessary to recover GRNs. In this chapter, we present new methods, called GEN

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Extending Partially Known Networks,sms. Particularly successful are supervised approaches that take the known regulatory interactions and gene expression data into account. However, they have not yet been applied to individuals genotyped by systems genetics data, where genetic polymorphisms are the major source of variation in gene e

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978-3-662-52204-2Springer-Verlag Berlin Heidelberg 2013

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https://doi.org/10.1007/978-3-642-45161-4Gene Network Inference; Gene Networks; Network Inference; Systems Biology; Systems Genetics; gene express

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