 | 2009 |
| 25 |  | Doheon Lee,
Russ B. Altman,
Min Song,
Jun Huan:
Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2009, Hong Kong, China, November 6, 2009
ACM 2009 |
| 24 |  | Brian Quanz,
Jun Huan:
Large margin transductive transfer learning.
CIKM 2009: 1327-1336 |
| 23 |  | Hongliang Fei,
Jun Huan:
L2 norm regularized feature kernel regression for graph data.
CIKM 2009: 593-600 |
| 22 |  | Xiaohong Wang,
Aaron M. Smalter,
Jun Huan,
Gerald H. Lushington:
G-hash: towards fast kernel-based similarity search in large graph databases.
EDBT 2009: 472-480 |
| 21 |  | Brian Quanz,
Jun Huan:
Aligned Graph Classification with Regularized Logistic Regression.
SDM 2009: 353-364 |
| 20 |  | Jun Huan:
Frequent Graph Patterns.
Encyclopedia of Database Systems 2009: 1170-1175 |
| 19 |  | Yi Jia,
Jun Huan,
Vincent Buhr,
Jintao Zhang,
Leonidas N. Carayannopoulos:
Towards comprehensive structural motif mining for better fold annotation in the "twilight zone" of sequence dissimilarity.
BMC Bioinformatics 10(S-1): (2009) |
| 18 |  | Aaron M. Smalter,
Jun Huan,
Gerald H. Lushington:
Graph Wavelet Alignment Kernels for Drug Virtual Screening.
J. Bioinformatics and Computational Biology 7(3): 473-497 (2009) |
| 2008 |
| 17 |  | Aaron M. Smalter,
Jun Huan,
Gerald H. Lushington:
Chemical Compound Classification with Automatically Mined Structure Patterns.
APBC 2008: 39-48 |
| 16 |  | Aaron M. Smalter,
Jun Huan,
Gerald H. Lushington:
GPM: A graph pattern matching kernel with diffusion for chemical compound classification.
BIBE 2008: 1-6 |
| 15 |  | Hongliang Fei,
Jun Huan:
Structure feature selection for chemical compound classification.
BIBE 2008: 1-6 |
| 14 |  | Hongliang Fei,
Jun Huan:
Structure feature selection for graph classification.
CIKM 2008: 991-1000 |
| 13 |  | Brian Quanz,
Meeyoung Park,
Jun Huan:
Biological pathways as features for microarray data classification.
DTMBIO 2008: 5-12 |
| 2007 |
| 12 |  | David W. Williams,
Jun Huan,
Wei Wang:
Graph Database Indexing Using Structured Graph Decomposition.
ICDE 2007: 976-985 |
| 11 |  | Xiang Zhang,
Wei Wang,
Jun Huan:
On Demand Phenotype Ranking through Subspace Clustering.
SDM 2007 |
| 10 |  | Xueyi Wang,
Jun Huan,
Jack Snoeyink,
Wei Wang:
Mining RNA Tertiary Motifs with Structure Graphs.
SSDBM 2007: 31 |
| 2006 |
| 9 |  | Stephen Olivier,
Jun Huan,
Jinze Liu,
Jan Prins,
James Dinan,
P. Sadayappan,
Chau-Wen Tseng:
UTS: An Unbalanced Tree Search Benchmark.
LCPC 2006: 235-250 |
| 8 |  | Jun Huan,
Jan Prins,
Wei Wang:
Local Structure Comparison of Proteins.
Advances in Computers 68: 180-255 (2006) |
| 2005 |
| 7 |  | Jun Huan,
Deepak Bandyopadhyay,
Wei Wang,
Jack Snoeyink,
Jan Prins,
Alexander Tropsha:
Comparing Graph Representations of Protein Structure for Mining Family-Specific Residue-Based Packing Motifs.
Journal of Computational Biology 12(6): 657-671 (2005) |
| 2004 |
| 6 |  | Jun Huan,
Wei Wang,
Jan Prins,
Jiong Yang:
SPIN: mining maximal frequent subgraphs from graph databases.
KDD 2004: 581-586 |
| 5 |  | Jun Huan,
Wei Wang,
Anglina Washington,
Jan Prins,
Ruchir Shah,
Alexander Tropsha:
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis.
Pacific Symposium on Biocomputing 2004: 411-422 |
| 4 |  | Jun Huan,
Wei Wang,
Deepak Bandyopadhyay,
Jack Snoeyink,
Jan Prins,
Alexander Tropsha:
Mining protein family specific residue packing patterns from protein structure graphs.
RECOMB 2004: 308-315 |
| 2003 |
| 3 |  | Jun Huan,
Jan Prins,
Wei Wang,
Todd J. Vision:
Reconstruction of Ancestral Gene Order after Segmental Duplication and Gene Loss.
CSB 2003: 484-485 |
| 2 |  | Jun Huan,
Wei Wang,
Jan Prins:
Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism.
ICDM 2003: 549-552 |
| 1 |  | Konstantin Berlin,
Jun Huan,
Mary Jacob,
Garima Kochhar,
Jan Prins,
William Pugh,
P. Sadayappan,
Jaime Spacco,
Chau-Wen Tseng:
Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures.
LCPC 2003: 194-208 |