Welcome to Qing Zhou's Home Page
UCLA Department of Statistics
8125 Math Sciences Bldg, Box 951554
Los Angeles, CA 90095
Associate Professor of Statistics, UCLA
Ph.D., Statistics, Harvard University, 2006
B.S./M.S., Engineering, Tsinghua University, 2001
Our goal is to develop statistical methodology
for efficient analysis of large-scale high-throughput genomic data.
We employ likelihood-based and sparse regularization methods to
make statistical inference on these data. We are interested in a
detailed understanding of gene regulation and aim to decode regulatory
circuits by integrating gene expression data, RNA-Seq data,
ChIP-Seq data, and DNA sequence data.
The focus of our biological applications is on mouse embryonic stem cells.
We have found novel transcription factor binding motifs and
have constructed regulatory networks in this model system. In addition, we also have
biological applications in alternative splicing and complex diseases via collaboration with experimental groups.
Monte Carlo methods:
We develop Monte Carlo methods to characterize statistical and topological structures
of a probability density function, with applications in Bayesian inference and statistical physics.
We are interested in exploring and reconstructing energy landscapes by Monte Carlo algorithms
via estimating the density of states, the tree of sublevel sets, and basins of attraction.
Fu, F. and Zhou, Q. (2013).
Learning sparse causal Gaussian networks with experimental intervention:
Regularization and coordinate descent.
Journal of the American Statistical Association, 108: 288-300.
Zhou, Q. (2011).
Multi-domain sampling with applications to structural inference of Bayesian networks.
Journal of the American Statistical Association, 106: 1317-1330.
Zhou, Q. (2011).
Random walk over basins of attraction to construct Ising energy landscapes.
Physical Review Letters, 106: 180602.
Sridharan, R., Tchieu, J., Mason, M.J., Yachechko, R., Kuoy, E., Horvath, S.,
Zhou, Q., and Plath, K. (2009). Role of the murine
reprogramming factors in the induction of pluripotency. Cell, 136:
Zhou, Q., Chipperfield, H., Melton, D.A., and Wong, W.H. (2007).
A gene regulatory network in mouse embryonic stem cells. Proceedings of the National Academy
of Sciences USA, 104: 16438-16443.
S.C.*, Zhou, Q.*, and Wong, W.H. (2006). Equi-energy sampler with applications in statistical
inference and statistical mechanics (with discussion). Annals of Statistics,
34: 1581-1652. (*Equal contribution.)
Zhou, Q. and Wong, W.H. (2004).
CisModule: De novo discovery of cis-regulatory
modules by hierarchical mixture modeling. Proceedings of the National Academy of Sciences USA,
Zhou, Q. and Liu, J.S. (2004).
Modeling within-motif dependence for transcription factor
binding site predictions. Bioinformatics, 20: 909-916.