2008 | ||
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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 |