Spring 2016 (Office Hours : TTH: 12:30PM-1:30PM or by appointment)
RESEARCH ACTIVITIES AND INTERESTS:
Before joining UTC, I collaborated with investigators at
St. Jude Children’s Research Hospital
in the areas of bioinformatics and computational biology. I am interested in
(1) statistical methodology with applications to biomedical sciences and health science;
(2) statistical inference methods in systems biology and genomewide integrated
analysis with emphasis on applications to cancer genomics;
(3) methods of analyzing similarity of animal models of human diseases.
My other interests include developing statistical methods for analyzing
mRNA sequencing data (count data) obtained by Next-Generation Sequencing Technology.
Currently I am working on a project about developing a statistical procedure to compare accuracy of multiple animal models of human disease.
Recently funded grant proposals
[Co-PI] I-Math: An Interdisciplinary Math Training Platform (Leading PI: Jin Wang in Department of Mathematics at UTC),(NSF#: 1520672), $500,000, 09/01/2015-08/31/2018.
Peer-reviewed Journal Articles
On the Evaluation of the Most Accurate Animal Model of Pediatric Medulloblastoma
”, Proceedings of Joint Statistical Meeting,
L. Landis, M. Brzeienski,
The Effect of Progressive-Tension Closure on Donor Site Seroma Formation in Delayed Latissimus Dorsi Flaps for Breast Recon-struction
”, Annals to Plastic Surgery,
May, 7 (2014).
Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
”, BMC Bioinfomatics 14(S-1):A21.,
A.H. Gaur, M.R Miller,
Evaluating Application of the National Healthcare Safety Network Central Line-Associated Bloodstream Infection Surveil-lance Definition: A survey of pediatric Intensive Care and Hematology/Oncology Units,
”, Infection Control and Hospital Epidemiology,
A.H. Gaur, D.G. Bundy,
Surveillance of Hospital-Acquired Central Line-Associated Bloodstream Infections in Pediatric Hematology-Oncology Patients: Lessons Learned, Challenges Ahead. ,
”, Infection Control and Hospital Epidemiology,
Vol. 34, No. 3,pp. 316-320,2013
D. Kawauchi, G. Robinson, T.Uzie, J.Rehg,
, D. Finkelstein, L. Zhu,C. Qu,S. Pounds,
D.W.Ellison,R.J.Gilbertson and M.F.Roussel.“
A Mouse Model for the Most Aggressive Molecular Subtype of Human Medulloblastoma
”, Cancer Cell,
21(2), 168-180 (2012).
, R. Johnson, K.
Wright, H. Poppleton, D. Finkelstein, S. Leary and R. Gilbertson.
“A Procedure to Statistically Evaluate
Agreement of Differential Expression for Crossspecies Genomics”,
C. Gao, C. Cheng, “
A Phenotype-drive Dimension Reduction
(PhDDR) Approach to Integrated Genomic Association Analysis”,
IEEE Engineering Medical Biology Society
A. Gaur, M Miller, C. Gao and C.
Assessing Application of the Nationa Healthcare Safety Nework
(NHSN) Central Line Associated Bloodstream Infectious (CLABSI) Surveillance
Definition Across Pediatric Sites",
of Sociaty of Healthcare Epidemiology of America
C. Gao, X. Dang, Y. Chen and D. Wilkins.
“Graph Ranking for Exploratory Gene Data Analysis”,
S. Pounds, C. Gao. “
Empirical Bayesian Selection of Hypothesis Testing Procedures for Analysis of mRNA-seq Data”,
Applications in Genetics and Molecular Biology
11(5), ISSN (Online) 1544-6115, DOI: 10.1515/1544-6115.1773, October 2012
C. Gao and et al. " Surveillance of Central
Line-Associated Bloodstream Infections(CLABSIs) in US Pediatric Hematology-Oncology
Inpatients –Lessons Learned,Challenges Ahead
Infection Control and Hospital Epidemiology,
Vol. 34, No. 3, (2013), pp. 316-320.
A. Gaur, C.Gao
and et al."Assessing Application of
the National Healthcare Safety Network (NHSN) Central Line-Associated Bloodstream
Infection (CLABSI) Surveillance Definition Across Pediatric Sites",
Vol.34. No. 7 (2013).
: an open source bioinformatics software package
providing statistical procedure to evaluate agreement
of differential expression(AGDEX) for cross-species genomics.
The package was peer reviewed by
More than 2100
downloads as of November 2012. This method has been adopted by two
Nature and one Cancer Cell papers.
: The purpose of this software is to perform copy number analysis of tumors.
The new procedure uses a pair of SNP arrays to identify genomic regions in
which the copy number of an individual’s tumor differs from that of the same
individual’s control tissue. TUCAN performs differencing, normalization, segmentation, reference selection and alignment in an order that makes the most
useful biological and statistical information available at each stage of the analysis.
Contributed talk (6/2012), "How to Make Bioconductor Packages Under Windows",
The 7th International R User Conference, Vanderbilt University, Nashville, Tennessee.
Poster (3/2012), "Analyze
mRNA-seq Data using Empirical Bayesian Selection of hypothesis Procedure",
Postdoctoral Professional Development Event 2012, Memphis TN.
Invited talk (11/2011), "Evaluate
the mouse model of pediatric brain tumors by a statistical procedure AGDEX",
Department of Mathematics, The University of Mississppi.
Poster (11/2011), "Emipicial
Baysian selection of hypothesis testing for analysis of mRNA-seq data", 2011
Faculty/postdoc Poster Session at St. Jude children's Research Hospital.
Poster (9/2011),“Evaluate the similarity of differential expression for cross-species genomics”,
1st Statistical Analysis of Next Generation Sequence Data, the University of Alabama at Birmingham.
Methods and Software in Statistical Genetics/ Genomics", Biostatistics
Research Seminar, Department of Biostatistics at St. Jude Research Hospital.
Contributed talk (8/2011), "Evaluation of the accuracy of a mouse model of
human brain diseases by agreement of differential expression", Joint
Statistics Meetings, Miami, FL.
Contributed talk (3/2011),
"Measure agreement of differential expression of cross-species genomics",
UT/ORNL/KBRIN Bioinformatics Summit, The Univeristy of Memphis.
Seminar (3/2011), " A Statistical
Procedure to Measure the Agreement of Differential Expression of
Crossspecies Genomics", Biostatistics Research Seminar, St. Jude Children's
Workshop (9/2010), "Evaluate the
mouse model of pediatric Ependymoma and Medulloblastoma", Biostatistics and
Bioinformatics semina, St Jude Children's Research Hospital.
talk (1/2010), "Graph ranking on gene network”,
Joint Mathematics Meetings, San Francisco, CA.
Poster (2/2009), "Gene clustering
by graph ranking", Midsouth Computational Biology and Bioinformatics Society
(MCBIOS), Mississippi State University.
talk (8/2008), "Graph ranking using Kernelized Depth Function, with
Application to Gene Network", Joint Statistics Meeting, Denver, CO.
The Comprehensive R Archive Network
A list of useful functions in R
knitr,Elegant, flexible and fast dynamic report generation with R
I married Weidong who is a structural engineer. We have
two little girls Emma (9 yrs) and Elly (4 yrs). I love walking, swimming and
reading stories with happy ending.