Probabilistic Inference and Ranking of Gene Regulatory Pathways as a Shortest-path Problem

Authors

James Jensen, Brigham Young University
Dr. Mark Clement, Brigham Young University

Keywords

probabilistic inference, gene regulatory pathways, gene expression

College

Physical and Mathematical Sciences

Department

Computer Science

Abstract

The project began in the Computational Science Lab in the Computer Science Department, where I was given the assignment of finding something useful to do with a collaborating biologist’s microarray data. Initially, the goal was to identify differentially expressed genes, and shifted to integrating differential expression analysis with other tools. It was at this stage of the project that I submitted the grant application. However, integrating multiple existing tools was eventually abandoned in favor of exploring a new idea.

Recommended Citation

Jensen, James and Clement, Dr. Mark (2013) "Probabilistic Inference and Ranking of Gene Regulatory Pathways as a Shortest-path Problem," Journal of Undergraduate Research: Vol. 2013: Iss. 1, Article 2671.
Available at: https://scholarsarchive.byu.edu/jur/vol2013/iss1/2671