Research

My current research interest is examining data generated from microarray experiments.

Grants Received

VGN/NIH INBRE Grant 06/01/2011 – 05/31/2012
Title: Modeling Long Time-Series Gene Expression Data with the KZ Algorithm

The goal of the research is to apply the Kolmogorov-Zurbenko Spline (KZS) from time-series analysis to model long time-series microarray gene expression data. This research will include defining the Kolmogorov-Zurbenko algorithm using the KZS as the modeling framework for temporal profiles and Fisher Discriminant Analysis to cluster genes based on the parameters of the KZS function. This algorithm will be applied to two publicly available and well-studied long time-series microarray datasets to evaluate and validate the methodology.

Charles A. Dana Research Fellowship 06/01/2010 – 08/30/2010
Norwich University
Title: “Analyzing Differentially Expressed Genes in Short Time Series Microarray Data.”

The goal of this project is to compare two techniques used to cluster temporal expression profiles for short time series microarray data; simplification strategies and integration of multi-source information. The effectiveness of two methodologies from each technique will be compared. In addition, a new methodology incorporating both techniques will be examined.

VGN/NIH INBRE Grant 06/01/2008 – 05/31/2009
Title: “Comparison of Variable Selection Techniques in Regression of Microarray Data”.

The goal of this project is to compare three techniques used to find the optimal grouping of related genes for regression: hierarchical clustering, lasso, and elastic net. In addition, two outcome predictive models will be compared.

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