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 Networks In Human Health And Disease Romana Ishrat

  • SKU: BELL-53008920
Biological Networks In Human Health And Disease Romana Ishrat
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Biological Networks In Human Health And Disease Romana Ishrat instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 4.31 MB
Pages: 135
Author: Romana Ishrat
ISBN: 9789819942411, 9819942411
Language: English
Year: 2023

Product desciption

Biological Networks In Human Health And Disease Romana Ishrat by Romana Ishrat 9789819942411, 9819942411 instant download after payment.

This book presents methods and tools of network biology and bioinformatics for understanding the disease dynamics and identification of drug targets. The initial section of chapters introduce the theoretical aspects followed by the different applications for construction and analysis of biological networks, methods for identifying crucial nodes in networks, and network dynamics. The book covers the latest advances in the network medicine, exploring the different types of biological networks, and their applications. It further reviews the role of R language in the network-based approaches that help in understanding biological systems and identifying biological functions. Towards the end, the book explores the recent developments and applications in machine learning and its potential for advancing network biology. Finally, the book elucidates a comprehensive yet a representative description of challenges associated with the understanding of disease dynamics using network biology. Given its scope, the book is intended for researchers and advanced postgraduate students of bioinformatics, computational biology, and medical sciences. ​

Related Products