 | 2011 |
| 18 |  | Shi-Hua Zhang,
Qingjiao Li,
Juan Liu,
Xianghong Jasmine Zhou:
A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules.
Bioinformatics [ISMB/ECCB] 27(13): 401-409 (2011) |
| 17 |  | Wenyuan Li,
Chun-Chi Liu,
Tong Zhang,
Haifeng Li,
Michael S. Waterman,
Xianghong Jasmine Zhou:
Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation.
PLoS Computational Biology 7(6): (2011) |
| 2010 |
| 16 |  | Michael R. Mehan,
Juan Nunez-Iglesias,
Chao Dai,
Michael S. Waterman,
Xianghong Jasmine Zhou:
An integrative modular approach to systematically predict gene-phenotype associations.
BMC Bioinformatics 11(S-1): 62 (2010) |
| 15 |  | Wenyuan Li,
Min Xu,
Xianghong Jasmine Zhou:
Unraveling complex temporal associations in cellular systems across multiple time-series microarray datasets.
Journal of Biomedical Informatics 43(4): 550-559 (2010) |
| 2009 |
| 14 |  | Rutu Mulkar-Mehta,
Jerry R. Hobbs,
Chun-Chi Liu,
Xianghong Jasmine Zhou:
Discovering Causal and Temporal Relations in Biomedical Texts.
AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 74-80 |
| 13 |  | Ruoming Jin,
Scott McCallen,
Chun-Chi Liu,
Yang Xiang,
Eivind Almaas,
Xianghong Jasmine Zhou:
Identifying Dynamic Network Modules with Temporal and Spatial Constraints.
Pacific Symposium on Biocomputing 2009: 203-214 |
| 12 |  | Chun-Chi Liu,
Jianjun Hu,
Mrinal Kalakrishnan,
Haiyan Huang,
Xianghong Jasmine Zhou:
Integrative disease classification based on cross-platform microarray data.
BMC Bioinformatics 10(S-1): (2009) |
| 2008 |
| 11 |  | Michael R. Mehan,
Juan Nunez-Iglesias,
Mrinal Kalakrishnan,
Michael S. Waterman,
Xianghong Jasmine Zhou:
An Integrative Network Approach to Map the Transcriptome to the Phenome.
RECOMB 2008: 232-245 |
| 2007 |
| 10 |  | Min Xu,
Ming-Chih J. Kao,
Juan Nunez-Iglesias,
Joseph Nevins,
Mike West,
Xianghong Jasmine Zhou:
Characterizing Disease-specific Pathways and Their Coordination by Integrative Microarray Analysis with Application to Cancer.
BIOCOMP 2007: 693-699 |
| 9 |  | Yu Huang,
Haifeng Li,
Haiyan Hu,
Xifeng Yan,
Michael S. Waterman,
Haiyan Huang,
Xianghong Jasmine Zhou:
Systematic discovery of functional modules and context-specific functional annotation of human genome.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 222-229 |
| 8 |  | Xifeng Yan,
Michael R. Mehan,
Yu Huang,
Michael S. Waterman,
Philip S. Yu,
Xianghong Jasmine Zhou:
A graph-based approach to systematically reconstruct human transcriptional regulatory modules.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 577-586 |
| 7 |  | Fei Pan,
Chi-Hsien Chiu,
Sudip Pulapura,
Michael R. Mehan,
Juan Nunez-Iglesias,
Kangyu Zhang,
Kiran Kamath,
Michael S. Waterman,
Caleb E. Finch,
Xianghong Jasmine Zhou:
Gene Aging Nexus: a web database and data mining platform for microarray data on aging.
Nucleic Acids Research 35(Database-Issue): 756-759 (2007) |
| 2006 |
| 6 |  | Jianjun Hu,
Haifeng Li,
Michael S. Waterman,
Xianghong Jasmine Zhou:
Integrative missing value estimation for microarray data.
BMC Bioinformatics 7: 449 (2006) |
| 5 |  | Fei Pan,
Kiran Kamath,
Kangyu Zhang,
Sudip Pulapura,
Avinash Achar,
Juan Nunez-Iglesias,
Yu Huang,
Xifeng Yan,
Jiawei Han,
Haiyan Hu,
Min Xu,
Jianjun Hu,
Xianghong Jasmine Zhou:
Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.
Bioinformatics 22(13): 1665-1667 (2006) |
| 2005 |
| 4 |  | Xifeng Yan,
Xianghong Jasmine Zhou,
Jiawei Han:
Mining Closed Relational Graphs with Connectivity Constraints.
ICDE 2005: 357-358 |
| 3 |  | Haiyan Hu,
Xifeng Yan,
Yu Huang,
Jiawei Han,
Xianghong Jasmine Zhou:
Mining coherent dense subgraphs across massive biological networks for functional discovery.
ISMB (Supplement of Bioinformatics) 2005: 213-221 |
| 2 |  | Xifeng Yan,
Xianghong Jasmine Zhou,
Jiawei Han:
Mining closed relational graphs with connectivity constraints.
KDD 2005: 324-333 |
| 2004 |
| 1 |  | 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) |