Computational Network Analysis with R (2016)

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Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

Matthias Dehmer (Editor), Yongtang Shi (Editor), Frank Emmert-Streib (Editor)



This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics.

With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping.

Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

Table of Contents

Differential correlation technique to analyze biological networks: DiffCorr

Challenges of computational network analysis with R

Software and practices for visualizing network data in biology and medicine

Efficient anomaly detection in dynamic, attributed graphs by using R

Chemical informatics functionality in R

Biological network comparison

Degradation analysis in R using uDEMO

Penalized methods in high-dimensional Gaussian graphical models

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2016-9-24 21:43:36 上传

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关键词：Computation Analysis network Analysi alysis background includes existing Network network

cmwei333 发表于 2016-9-24 21:50
Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

Matthias D ...

谢谢分享

cmwei333 发表于 2016-9-24 21:50
Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

Matthias D ...

谢谢分享的资料

谢谢分享

thanks for sharing

非常好的资源！

下来看看，查一下资料，人大的书挺全的。

cmwei333 发表于 2016-9-24 21:50
Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

Matthias D ...

好的好的

我想看这本书，但是我金币不够，楼主能不能发我一份，lzhsun66@126.com,多谢多谢！