Publication Date

Fall 12-2010

Degree Type

Master's Project

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Sami Khuri

Second Advisor

Chris Pollett

Third Advisor

Robert Chun

Abstract

MicroRNA target prediction using the experimental methods is a challenging task. To accelerate the process of miRNA target validation, many computational methods are used. Computational methods yield many potential candidates for experimental validation. This project is about developing a new computational method using dynamic programming to predict miRNA targets with more accuracy. The project discusses the currently available computational methods and develops a new algorithm using the currently available knowledge about miRNA interactions.

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