[PDF.94bj] Weighted Network Analysis: Applications in Genomics and Systems Biology

Weighted Network Analysis: Applications in Genomics and Systems Biology

[PDF.xc01] Weighted Network Analysis: Applications in Genomics and Systems Biology

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 | #2772328 in Books |  Horvath Steve |  2011-05-04 | Original language:English | PDF # 1 |  1.20 x6.30 x9.40l,1.80 | File type: PDF | 421 pages

 | Weighted Network Analysis Applications in Genomics and Systems Biology

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||2 of 2 people found the following review helpful.| Remarkable book on gene networks|By pierre charbord|Seminal book explaining how correlation networks between genes can be obtained. A must for transcriptome analysis. Accessible to any scientist with minimal background in statistics and transcriptome analysis.|From the Back Cover||This book presents state-of-the-art methods, software and applications surrounding weighted networks. Most methods and results also apply to unweighted networks. Although aspects of weighted network analysis relate to standard data mining me

High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.

You can specify the type of files you want, for your device.Weighted Network Analysis: Applications in Genomics and Systems Biology   |  Steve Horvath. Which are the reasons I like to read books. Great story by a great author.

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