Jiang Gui, Ph.D.
Assistant Professor of Biomedical Data Science
Assistant Professor of The Dartmouth Institute
Biomedical Data Science
The Dartmouth Institute
2000-2005 University of California, Davis
Ph.D. in Statistics
Dissertation: Regularized Estimation in the High-Dimension and Low-Sample Size Settings, With Applications to Genomic Data
1996-2000 Peking University, P.R. China
B.S. in Statistics
The Dartmouth Institute for Health Policy and Clinical Practice
Lebanon NH 03756
Dr. Gui's main interest lies in development and application of statistical methods for high-dimensional data (i.e. Microarray, SNP array and Proteomics data). His current research focuses on FDR control, penalized regression and dimension reduction methods.
Small group leader, DMS Epidemiology and Biostatistics.
Moore, J.H., Barney, N., Tsai, C.T., Chiang, F.T., Gui, J., White, B.C. (2007) Symbolic Modeling of Epistasis. Human Heredity 63, 120-133.
Li, H, Gui, J. (2006) Regularized estimation for Gaussian graphical models, with applications to inference of genetic networks. Biostatistics , 7(2):302-317.
Gui, J, Li, H. (2005) Penalized cox regression analysis in the high-dimensional and low-sample size settings with application to microarray gene expression data. Bioinformatics, 21: 3001-3008.
Gui, J, Li, H. (2004) Threshold gradient descent method for censored data regression with applications in pharmacogenomics. Pacific Symposium on Biocomputing, 10: 272-283.
Li, H, Gui, J. (2004) Regularized estimation for Gaussian graphical models, with applications to inference of genetic networks. ISMBO4/Bioinformaticds, 20(suppl 1), i208-i215.