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Faculty Profile Last Modified Time: 02:27:57 PM Fri, 27 Mar 2020   Contact Information Zhandong Liu Associated Profiles  Associate Professor, Quantitative & Computational Biosciences Graduate Program, Baylor College of Medicine   Mail Box: BCM320, Duncan Neurological Research Institute, Room No.: NRI-1365.08    zhandong.liu@bcm.edu     (832) 824-8878    Faculty Profile    Lab    Gene Expression, Genomics, Bioinformatics and Computational Biology, Next Generation Sequencing, Transcriptomics, Computational Biology, NGS Data Analysis, Differential Gene Expression, Comparative Genomics, Microarray Analysis, Computational Genomics    Associated Profiles Professional Preparation Research and Expertise Affiliations Appointments  Professional Preparation  Degree Major Institution Year  PhD Genomics and Computational Biology University of Pennsylvania 2010  MS Computer Science Wayne State University 2003  BS Computer Science Nankai University 2001  Research and Expertise Research Interests   Dr. Zhandong Liu develops bioinformatics approaches for analyzing high-throughput biological data produced by gene expression arrays, RNA-seq and genomic sequencing. His work integrates multiple data types in the interest of advancing our understanding of neurological diseases. Consider the case of genome-wide expression data, which can provide important snapshots of differences between normal and pathological cellular processes. Yet the hope of being able to assess the activation status of a particular signaling pathway or transcriptional network using only gene expression data remains an elusive goal. Dr. Liu developed a graphical random walk (GRW)-based algorithm that can accurately predict pathway activity from microarray gene expression data. GRW uses gene-gene interaction data to construct a pathway signature in a manner analogous to particle-particle interactions described by Coulomb's law. By comparing GRW to other standard approaches, he has demonstrated that GRW can sensitively and specifically predict pathway activity across tissues, species, and platforms. The Liu lab's long-term goal is to develop computational models and algorithms in areas of genomics and computational biology. These tools will allow us to better understand the etiology of neurological diseases from computational and systems biology perspectives.  Publications/Creative Works Click here to search for this faculty member's publications on PubMed.  Affiliations  Training Grants NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows  Appointments Title Department / School Institution Associate Professor Quantitative & Computational Biosciences Graduate Program Baylor College of Medicine

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