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Application of Uncertainty Models in Bioinformatics

Application of Uncertainty Models in Bioinformatics

B.K. Tripathy, R.K. Mohanty, Sooraj T.R.
Copyright: © 2016 |Pages: 14
ISBN13: 9781522504276|ISBN10: 1522504273|EISBN13: 9781522504283
DOI: 10.4018/978-1-5225-0427-6.ch009
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MLA

Tripathy, B.K., et al. "Application of Uncertainty Models in Bioinformatics." Handbook of Research on Computational Intelligence Applications in Bioinformatics, edited by Sujata Dash and Bidyadhar Subudhi, IGI Global, 2016, pp. 169-182. https://doi.org/10.4018/978-1-5225-0427-6.ch009

APA

Tripathy, B., Mohanty, R., & Sooraj T.R. (2016). Application of Uncertainty Models in Bioinformatics. In S. Dash & B. Subudhi (Eds.), Handbook of Research on Computational Intelligence Applications in Bioinformatics (pp. 169-182). IGI Global. https://doi.org/10.4018/978-1-5225-0427-6.ch009

Chicago

Tripathy, B.K., R.K. Mohanty, and Sooraj T.R. "Application of Uncertainty Models in Bioinformatics." In Handbook of Research on Computational Intelligence Applications in Bioinformatics, edited by Sujata Dash and Bidyadhar Subudhi, 169-182. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0427-6.ch009

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Abstract

This chapter provides the information related to the researches enhanced using uncertainty models in life sciences and biomedical Informatics. The main emphasis of this chapter is to present the general ideas for the time line of different uncertainty models to handle uncertain information and their applications in the various fields of biology. There are many mathematical models to handle vague data and uncertain information such as theory of probability, fuzzy set theory, rough set theory, soft set theory. Literatures from the life sciences and bioinformatics have been reviewed and provided the different experimental & theoretical results to understand the applications of uncertain models in the field of bioinformatics.

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