Network-based Biomarkers

Kumar, Sanjeev; Agrawal, Shipra

doi:10.1007/978-1-4419-9863-7_205

Sanjeev Kumar⁵ &
Shipra Agrawal⁶

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Definition

The complex phenotypes observed during the development of a disease are rarely due to single proteins. Hence, recently, it has been shown that protein networks are a source for identifying powerful biomarkers. These biomarker networks in many cases are more useful in predictions rather than the any individual gene.

Transcriptional modules rich in biomarkers can be generated by measuring coordinately expressed gene expression profiles in biofluids. These “biomarker modules” can further be used to predict new biomarker networks in an iterative manner. Such biomarkers based on networks could also be abstracted from the integrative network models of the cellular networks, which are constructed from high throughput proteomics and genomics datasets.

The protein network biomarkers could be identified for the followings:

Stratification of disease progression from one stage to another: For example, the protein networks obtained from expression profile and/or interaction data from a...

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References

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Authors and Affiliations

BioCOS Life Sciences Private Limited, Bangalore Biotech Park (IBAB Campus), 560100, Bangalore, Karnataka, India
Dr. Sanjeev Kumar
BioCOS Life Sciences Pvt. Limited, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India
Dr. Shipra Agrawal

Authors

Dr. Sanjeev Kumar
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Dr. Shipra Agrawal
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Correspondence to Sanjeev Kumar .

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Editors and Affiliations

Biomedical Sciences Research Institute, University of Ulster, Coleraine, UK
Werner Dubitzky
Department of Computer Science, University of Rostock, Rostock, Germany
Olaf Wolkenhauer
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Kwang-Hyun Cho
Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
Hiroki Yokota

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Kumar, S., Agrawal, S. (2013). Network-based Biomarkers. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_205

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DOI: https://doi.org/10.1007/978-1-4419-9863-7_205
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9862-0
Online ISBN: 978-1-4419-9863-7
eBook Packages: Biomedical and Life SciencesReference Module Biomedical and Life Sciences

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