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Weighted Network Analysis: Applications in Genomics and Systems Biology

Steve Horvath




[PDF.im71] Weighted Network Analysis: Applications in Genomics and Systems Biology

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 | #1707059 in Books |  2011-05-04 | Original language:English | PDF # 1 |  1.20 x6.30 x9.40l,1.80 | File type: PDF | 421 pages

||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 easily download any file type for your gadget.Weighted Network Analysis: Applications in Genomics and Systems Biology   |  Steve Horvath. I was recommended this book by a dear friend of mine.

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