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A survey on biomarker identification based on molecular networks |
Guanghui Zhu, Xing-Ming Zhao( ), Jun Wu( ) |
Department of Computer Science and Technology, Tongji University, Shanghai 201804, China |
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Abstract Background: Identifying biomarkers for accurate diagnosis and prognosis of diseases is important for the prevention of disease development. The molecular networks that describe the functional relationships among molecules provide a global view of the complex biological systems. With the molecular networks, the molecular mechanisms underlying diseases can be unveiled, which helps identify biomarkers in a systematic way. Results: In this survey, we report the recent progress on identifying biomarkers based on the topology of molecular networks, and we categorize those biomarkers into three groups, including node biomarkers, edge biomarkers and network biomarkers. These distinct types of biomarkers can be detected under different conditions depending on the data available. Conclusions: The biomarkers identified based on molecular networks can provide more accurate diagnosis and prognosis. The pros and cons of different types of biomarkers as well as future directions to improve the methods for identifying biomarkers are also discussed.
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Author Summary The biomarkers identified based on molecular networks can be of help for accurate diagnosis and prognosis in a more systematic way. In this survey, three types of network based biomarkers are introduced, including node biomarkers, edge biomarkers and network biomarkers. The computational approaches for detecting the network based biomarkers are also introduced. |
Keywords
biomarker
molecular network
module
pathway
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Corresponding Author(s):
Xing-Ming Zhao,Jun Wu
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About author: Tongcan Cui and Yizhe Hou contributed equally to this work. |
Just Accepted Date: 28 September 2016
Online First Date: 09 November 2016
Issue Date: 01 December 2016
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