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. ​
General
| Imprint: |
Springer Verlag, Singapore
|
| Country of origin: |
Singapore |
| Release date: |
October 2023 |
| First published: |
2023 |
| Editors: |
Romana Ishrat
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
160 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-981-9942-41-1 |
| Categories: |
Books
Promotions
|
| LSN: |
981-9942-41-1 |
| Barcode: |
9789819942411 |
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