[1] Wanwan Tang,
Xuebing Wu, Rui Jiang, Yanda Li. Epistatic module detection for
case-control studies: A Bayesian module and a Gibbs sampling
strategie. PLoS Genetics，in press, 2009. (SCI Impact factor:
8.7)
[2] Rui Jiang,
Ting Chen, and Fengzhu Sun. Bayesian models and Gibbs sampling
strategies for local graph alignment and motif finding in
stochastic networks. Communications in Systems and Information
(special issure for Michael Waterman's 70th birthday)，Accepted
[3] Xuebing Wu,
Rui Jiang, Michael Q. Zhang, Shao Li. Network-based global
inference of human disease genes. Molecular Systems Biology，4:189,
2008. (SCI Impact factor: 9.95)
[4] Xuebing Wu,
Qifang Liu, Rui Jiang. Align human interactome with phenome to
identify causative genes and networks underlying disease families.
Bioinformatics，25(1): 98-104, 2009. (SCI Impact factor: 5.03)
[5] Rui Jiang,
Wanwan Tang, Xuebing Wu, Wenhui Fu. A random forest approach to
the detection of epistatic interactions in case-control studies.
BMC Bioinformatics，In press, 2009. (SCI Impact factor: 3.69)
[6] Rui Jiang,
Hua Yang, Linqi Zhou, C.-C. Jay Kuo, Fengzhu Sun, and Ting Chen.
Sequence-based prioritization of non-synonymous single-nucleotide
polymorphisms for the study of disease mutations. The American
Journal of Human Genetics，81(2):346-360, 2007. (SCI Impact factor:
12.7)
[7] Rui Jiang,
Zhidong Tu, Ting Chen, and Fengzhu Sun. Network motif
identification in stochastic networks. Proc, Natl, Acad, Sci,
USA，103(25):9404-9409, 2006. (SCI Impact factor: 10.3)
[8] Rui Jiang,
Hua Yang, Fengzhu Sun, and Ting Chen. Searching for interpretable
rules for disease mutations: a simulated annealing bump hunting
strategy. BMC Bioinformatics，7:417, 2006. (SCI Impact factor:
4.96)
