2008 |
29 | EE | Dongsheng Che,
Guojun Li,
Shane T. Jensen,
Jun S. Liu,
Ying Xu:
PFP: A Computational Framework for Phylogenetic Footprinting in Prokaryotic Genomes.
ISBRA 2008: 110-121 |
2007 |
28 | EE | Guo-Cheng Yuan,
Jun S. Liu:
Statistial Analysis of nucleosome occupancy and histone modification data.
BIBE 2007: 8 |
27 | | Jiajun Gu,
Jun S. Liu:
Bayesian Biclustering of Microarray Data.
BIOCOMP 2007: 113-120 |
26 | EE | Gopi Goswami,
Jun S. Liu:
On learning strategies for evolutionary Monte Carlo.
Statistics and Computing 17(1): 23-38 (2007) |
2006 |
25 | EE | Xuegong Zhang,
Xin Lu,
Qian Shi,
Xiu-qin Xu,
Hon-chiu E. Leung,
Lyndsay N. Harris,
James D. Iglehart,
Alexander Miron,
Jun S. Liu,
Wing Hung Wong:
Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.
BMC Bioinformatics 7: 197 (2006) |
24 | EE | Erin M. Conlon,
Joon J. Song,
Jun S. Liu:
Bayesian models for pooling microarray studies with multiple sources of replications.
BMC Bioinformatics 7: 247 (2006) |
2005 |
23 | EE | Kui Zhang,
Zhaohui S. Qin,
Ting Chen,
Jun S. Liu,
Michael S. Waterman,
Fengzhu Sun:
HapBlock: haplotype block partitioning and tag SNP selection software using a set of dynamic programming algorithms.
Bioinformatics 21(1): 131-134 (2005) |
22 | EE | Pengyu Hong,
X. Shirley Liu,
Qing Zhou,
Xin Lu,
Jun S. Liu,
Wing Hung Wong:
A boosting approach for motif modeling using ChIP-chip data.
Bioinformatics 21(11): 2636-2643 (2005) |
21 | EE | Dongsheng Che,
Shane T. Jensen,
Liming Cai,
Jun S. Liu:
BEST: Binding-site Estimation Suite of Tools.
Bioinformatics 21(12): 2909-2911 (2005) |
20 | EE | Shane T. Jensen,
Lei Shen,
Jun S. Liu:
Combining phylogenetic motif discovery and motif clustering to predict co-regulated genes.
Bioinformatics 21(20): 3832-3839 (2005) |
19 | EE | Wenxuan Zhong,
Peng Zeng,
Ping Ma,
Jun S. Liu,
Michael Yu Zhu:
RSIR: regularized sliced inverse regression for motif discovery.
Bioinformatics 21(22): 4169-4175 (2005) |
2004 |
18 | EE | Andrew F. Neuwald,
Jun S. Liu:
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model.
BMC Bioinformatics 5: 157 (2004) |
17 | EE | Shane T. Jensen,
Jun S. Liu:
BioOptimizer: a Bayesian scoring function approach to motif discovery.
Bioinformatics 20(10): 1557-1564 (2004) |
16 | EE | Qing Zhou,
Jun S. Liu:
Modeling within-motif dependence for transcription factor binding site predictions.
Bioinformatics 20(6): 909-916 (2004) |
15 | EE | Haiyan Huang,
Ming-Chih J. Kao,
Xianghong Jasmine Zhou,
Jun S. Liu,
Wing Hung Wong:
Determination of Local Statistical Significance of Patterns in Markov Sequences with Application to Promoter Element Identification.
Journal of Computational Biology 11(1): 1-14 (2004) |
14 | | Yueyi Liu,
Liping Wei,
Serafim Batzoglou,
Douglas L. Brutlag,
Jun S. Liu,
X. Shirley Liu:
A suite of web-based programs to search for transcriptional regulatory motifs.
Nucleic Acids Research 32(Web-Server-Issue): 204-207 (2004) |
2003 |
13 | EE | Xin Lu,
Wen Zhang,
Zhaohui S. Qin,
Jun S. Liu:
Statistical Resynchronization and Detection of Periodic Transcripts.
CSB 2003: 394-395 |
2002 |
12 | EE | Tianhua Niu,
Xin Lu,
Hosung Kang,
Zhaohui S. Qin,
Jun S. Liu:
Haplotype Inference and Its Application in Linkage Disequilibrium Mapping.
Computational Methods for SNPs and Haplotype Inference 2002: 48-61 |
11 | EE | Kui Zhang,
Ting Chen,
Michael S. Waterman,
Zhaohui S. Qin,
Jun S. Liu,
Fengzhu Sun:
Dynamic Programming Algorithms for Haplotype Block Partitioning and Tag SNP Selection Using Haplotype Data or Genotype Data.
Computational Methods for SNPs and Haplotype Inference 2002: 96-112 |
10 | EE | Xiaodong Wang,
Rong Chen,
Jun S. Liu:
Monte Carlo Bayesian Signal Processing for Wireless Communications.
VLSI Signal Processing 30(1-3): 89-105 (2002) |
2001 |
9 | EE | X. Liu,
Douglas L. Brutlag,
Jun S. Liu:
BioProspector: Discovering Conserved DNA Motifs in Upstream Regulatory Regions of Co-Expressed Genes.
Pacific Symposium on Biocomputing 2001: 127-138 |
2000 |
8 | EE | Jason Cong,
Tianming Kong,
Faming Liang,
Jun S. Liu,
Wing Hung Wong,
Dongmin Xu:
Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application.
ASP-DAC 2000: 277-282 |
7 | | Rong Chen,
Xiaodong Wang,
Jun S. Liu:
Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering.
IEEE Transactions on Information Theory 46(6): 2079-2094 (2000) |
6 | | Scott C. Schmidler,
Jun S. Liu,
Douglas L. Brutlag:
Bayesian Segmentation of Protein Secondary Structure.
Journal of Computational Biology 7(1-2): 233-248 (2000) |
1999 |
5 | EE | Jason Cong,
Tianming Kong,
Dongmin Xu,
Faming Liang,
Jun S. Liu,
Wing Hung Wong:
Relaxed Simulated Tempering for VLSI Floorplan Designs.
ASP-DAC 1999: 13-16 |
4 | | Jun S. Liu,
Charles E. Lawrence:
Bayesian inference on biopolymer models.
Bioinformatics 15(1): 38-52 (1999) |
1998 |
3 | | Jun Zhu,
Jun S. Liu,
Charles E. Lawrence:
Bayesian adaptive sequence alignment algorithms.
Bioinformatics 14(1): 25-39 (1998) |
1997 |
2 | | Jun Zhu,
Jun S. Liu,
Charles E. Lawrence:
Bayesian Adaptive Alignment and Inference.
ISMB 1997: 358-368 |
1994 |
1 | | Charles E. Lawrence,
Stephen F. Altschul,
John C. Wootton,
Mark S. Boguski,
Andrew F. Neuwald,
Jun S. Liu:
A Gibbs Sampler for the Detection of Subtle Motifs in Multiple Sequences.
HICSS (5) 1994: 245-254 |