Biological networks in human health and disease / Romana Ishrat, editor.
Ishrat, Romana, editor.
2023
QH324.2 .B56 2023
Available Online

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Title Biological networks in human health and disease / Romana Ishrat, editor.
ISBN 9789819942428 (electronic bk.)
981994242X (electronic bk.)
9819942411
9789819942411
DOI https://doi.org/10.1007/978-981-99-4242-8
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (160 pages) : illustrations (black and white, and color).
Other Standard Identifiers 10.1007/978-981-99-4242-8 doi
Call Number QH324.2 .B56 2023
Dewey Decimal Classification 570.1/13
Summary 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.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Ishrat, Romana, editor.
Available in Other Form BIOLOGICAL NETWORKS IN HUMAN HEALTH AND DISEASE.
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Chapter 1. Graph Theory in the Biological Networks
Chapter 2. Biological Networks Analysis
Chapter 3. Network Analysis based software packages, tools, and web servers to accelerate bioinformatics research
Chapter 4. Networks Analytics of Heterogeneous Big Data
Chapter 5. Network Medicine: Methods and Applications
Chapter 6. Role of R in Biological Network Analysis
Chapter 7. Machine Learning in Biological Networks.

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