Yin Liu, Ph.D.

2007, Yale University

UT-Houston Medical School
Neurobiology and Anatomy

Research Interests: computational biology; protein interaction; signal transduction; Bayesian methodology in Bioinformatics; data analysis and integration

My research interests focus on the development of computational and statistical approaches to performing large-scale analysis of cellular networks, biological pathways, genomic sequences, and gene expression. Current studies in our lab primarily focuses on the area of systems biology, which involves the development of sound and comprehensive computational and statistical methods to integrate information from diverse sources in order to reconstruct biological networks, such as protein interaction networks and signal transduction networks.

Depending on the student’s interests, a tutorial in my laboratory will provide experience in developing novel computational and statistical methods for analyzing large-scale genomic and proteomic data, and applying these methods to solve biological and biomedical problems.

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Kim I, Liu Y, Zhao H.(2007) Bayesian methods for predicting interacting protein pairs using domain information. Biometrics, 63: 824-833.

Liu Y, Sun N, Liu J, Chen L, McIntosh M, Zheng L, Zhao H (2007) Identifying stage-specific genes by combining information from two different types of oligonucleotide arrays. Methods of Microarray Data Analysis V, 59-75.

Liu Y, Liu N, Zhao H. (2005) Inferring protein-protein interactions through high-throughput interaction data from diverse organisms. Bioinformatics, 21: 3279-3285.

Liu Y, Zhao H (2004) A computational approach for ordering signal transduction pathway components from genomics and proteomics data. BMC Bioinformatics, 5, 158.

Zhang Z, Harrison P, Liu Y, Gerstein M (2003) Millions of years of evolution preserved: a comprehensive catalogue of over 8000 pseudogenes in the human genome. Genome Research, 13:2541-2558.

Program Affiliations:
Program in Neuroscience
Program in Biomathematics and Biostatistics