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Bioinformatics and Medical Applications
book

Bioinformatics and Medical Applications

by A. Suresh, S. Vimal, Y. Harold Robinson, Dhinesh Kumar Ramaswami, R. Udendhran
April 2022
Intermediate to advanced content levelIntermediate to advanced
352 pages
8h 39m
English
Wiley-Scrivener
Content preview from Bioinformatics and Medical Applications

5Broad Applications of Network Embeddings in Computational Biology, Genomics, Medicine, and Health

Akanksha Jaiswar1, Devender Arora2, Manisha Malhotra3, Abhimati Shukla4 and Nivedita Rai5*

1Centre for Agricultural Bioinformatics (CABin), ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India

2National Institute of Animal Science, Rural Development Administration, Jeonju, South Korea

3CSIR-Indian Institute of Petroleum, Dehradun, India

4Harcourt Butler Technical University, Kanpur, India

5School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India

Abstract

In this data-driven world, recent technologies are producing high-throughput genomics and biomedical data extensively. An enormous amount of relational data evolves that can interlink the genes, proteins, chemical compounds, drugs, and diseases. As biological networks are very complex and hard to interpret, a significant amount of progress is going on toward the graph or network embedding paradigm that can use for visualization, representation, interpretation, and their correlation. In this technique, diverse input data are systematically integrated to generate a unified vector representation. The current chapter mainly focuses on traditional and current development on the network or graph embedding and their applications in computational biology, genomics, and healthcare. Finally, to gain more biological insight, further quantification and evaluation of the network ...

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Publisher Resources

ISBN: 9781119791836Purchase Link