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Computational Biomarker Discovery

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Approaches in Integrative Bioinformatics

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Abstract

The advent of omics technologies as genomics and proteomics has brought the hope of discovering novel biomarkers that can be used to diagnose, predict, and monitor progress of disease. The importance of computational biomarker discovery for diagnostic classification and prognostic assessment in the context of microarray and proteomic data has been increasingly recognized. We present an overview of computational methods and their applications to biomarker discovery with particular focus on genomics and proteomics data. One case study is exemplarily presented, and relevant computational biomarker discovery terminology and techniques are explained.

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Acknowledgements

This work was supported in part by a grant from the National Cancer Institute (U24CA126480-01), part of NCI’s Clinical Proteomic Technologies Initiative (http://proteomics.cancer.gov), awarded to Dr. Fred Regnier (PI) and Dr. Jake Chen (co-PI).

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Authors and Affiliations

  1. Department of Academic and Institutional Resources and Technology, University of North Texas Health Science Center, Fort Worth, TX, 76107, USA

    Fan Zhang

  2. Institute of Biopharmaceutical Informatics and Technology, Wenzhou Medical College, Wenzhou, Zhejiang, China

    Fan Zhang, Xiaogang Wu & Jake Y. Chen

  3. School of Informatics, Indiana University, Indianapolis, IN, 46202, USA

    Xiaogang Wu & Jake Y. Chen

  4. Indiana Center for Systems Biology and Personalized Medicine, Indianapolis, IN, 46202, USA

    Xiaogang Wu & Jake Y. Chen

  5. Department of Computer and Information Science, School of Science, Purdue University, Indianapolis, IN, 46202, USA

    Jake Y. Chen

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  1. Fan Zhang
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  2. Xiaogang Wu
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Correspondence to Jake Y. Chen .

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Editors and Affiliations

  1. College of Life Sciences, Zhejiang University, Hangzhou, People's Republic of China

    Ming Chen

  2. Department of Bioinformatics and Medical Informatics, Bielefeld University, Bielefeld, Germany

    Ralf Hofestädt

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Zhang, F., Wu, X., Chen, J.Y. (2014). Computational Biomarker Discovery. In: Chen, M., Hofestädt, R. (eds) Approaches in Integrative Bioinformatics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41281-3_13

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