logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Biological Network Analysis Trends Approaches Graph Theory And Algorithms 1st Edition Pietro Hiram Guzzi

  • SKU: BELL-11132714
Biological Network Analysis Trends Approaches Graph Theory And Algorithms 1st Edition Pietro Hiram Guzzi
$ 31.00 $ 45.00 (-31%)

4.7

66 reviews

Biological Network Analysis Trends Approaches Graph Theory And Algorithms 1st Edition Pietro Hiram Guzzi instant download after payment.

Publisher: Academic Pr
File Extension: PDF
File size: 7.17 MB
Pages: 220
Author: Pietro Hiram Guzzi, Swarup Roy
ISBN: 9780128193501, 0128193506
Language: English
Year: 2020
Edition: 1

Product desciption

Biological Network Analysis Trends Approaches Graph Theory And Algorithms 1st Edition Pietro Hiram Guzzi by Pietro Hiram Guzzi, Swarup Roy 9780128193501, 0128193506 instant download after payment.

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.

  • Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network models
  • Discusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain Connectomes
  • Includes a discussion of various graph theoretic and data analytics approaches

Related Products