Publications

August 21st, 2009 Leave a comment Go to comments
  1. A fast approximation to multidimensional scaling, by Tynia Yang, Jinze Liu, Leonard McMillan, and Wei Wang, Proceedings of the ECCV Workshop on Computation Intensive Methods for Computer Vision (CIMCV), 2006.
  2. Poclustering: lossless clustering of dissimilarity data, by Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, and Jan Prins, Proceedings of 2007 SIAM International Conference on Data Mining (SDM2007), 2007.
  3. Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows, by Adam Roberts, Leonard McMillan, Wei Wang, Joel Parker, Ivan Rusyn, and David Threadgill, Proceedings of the 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), 2007.
  4. On the subspecific origin of the laboratory mouse, by Hyuna Yang, Timothy Bell, Gary Churchill, and Fernando Pardo-Manuel de Villena, Nature Genetics Jul 22, 2007.
  5. The polymorphism architecture of mouse genetic resources elucidated using genome-wide resequencing data: implications for QTL discovery and systems genetics, by Adam Roberts, Fernando Pardo-Manuel de Villena, Wei Wang, Leonard McMillan, and David Threadgill, Mammalian Genome, Aug 3, 2007.
  6. Sample selection for maximal diversity, by Feng Pan, Adam Roberts, Leonard McMillan, Fernando Pardo Manuel de Villena, David Threadgill, and Wei Wang, 2007 IEEE International Conference on Data Mining (ICDM’07)
  7. An imputed genotype resource for the laboratory mouse, by Jin P. Szatkiewicz, Glen L. Beane, Yueming Ding, Lucie Hutchins, Fernando Pardo Manuel de Villena, and Gary Churchill, Mammalian Genome, 19,3, 199-208.
  8. CARE: Finding Local Linear Correlations in High Dimensional Data, by Xiang Zhang, Feng Pan, and Wei Wang, Proceedings of 2008 International Conference on Data Engineering (ICDE’08).
  9. CRD: Fast Co-clustering on Large Datasets Utilizing Smapling-Based Matrix Decomposition, by Feng Pan, Xiang Zhang and Wei Wang, Proceedings of  2008 SIGMOD/PODS Conference (SIGMOD’08).
  10. FastANOVA: an efficient algorithm for genome-wide association study, by Xiang Zhang, Fei Zou, and Wei Wang. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD’08).
  11. Mining non-redundant high order correlations in binary data, by Xiang Zhang, Feng Pan, Wei Wang, and Andrew Nobel. Proceedings of the 34th International Conference on Very Large Data Bases (VLDB’08).
  12. Genotype Sequence Segmentation: Handling Constraints and Noise, by Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins, Fernando Pardo-Manuel de Villena, and David Threadgill, Proceedings of 8th Workshop on Algorithms in Bioinformatics (WABI’08), 2008. 
  13. REDUS: finding reducible subspaces in high dimensional data, by Xiang Zhang, Feng Pan, and Wei Wang. Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM’08).
  14. TreeQA: Quantitative Genome Wide Association Mapping Using Local Perfect Phylogeny Trees, by Feng Pan, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill and Wei Wang. Proceedings of the the 14th Pacific Symposium on Biocomputing (PSB’ 09) .
  15. Inferring Genome-Wide Mosaic Structure, by Qi Zhang, Wei Wang, Leonard McMillan, Fernando Pardo-Manuel de Villena, and David Threadgill. Proceedings of the the 14th Pacific Symposium on Biocomputing (PSB’ 09) .
  16. FastChi: an efficient algorithm for analyzing gene-gene interactions, by Xiang Zhang, Fei Zou, and Wei Wang. Proceedings of the the 14th Pacific Symposium on Biocomputing (PSB’ 09) .
  17. COE: a general approach for efficient genome-wide two-locus epistasis test in disease association study, by Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, and Wei Wang. Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB), pp. 253-269, 2009.
  18. Structure-based function inference using protein family-specific fingerprints, by Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan Prins, Jack Snoeyink, Wei Wang, and Alexander Tropsha, Protein Science, v.15, 2006, p. 1537
  19. Benchmarking the effectiveness of sequential pattern mining methods, by Hye-Chung Kum, J. H. Chang, and Wei Wang, Data and Knowledge Engineering, v.60, 2007, p. 30.
  20. Sequential pattern mining in multi-databases via multiple alignment, by Hye-Chung Kum, Joong-Hyuk Chang, and Wei Wang, Data Mining and Knowledge Discovery (DMKD), v.12, 2006, p. 151
  21. CRD: fast co-clustering on large datasets utilizing sample-based matrix decomposition, by Feng Pan, Xiang Zhang, and Wei Wang, Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2008, p. 173.
  22. Accelerating Profile Queries in Elevation Maps, by Pan Feng, Wei Wang, and Leonard McMillan, International Conference on Data Engineering (ICDE 2007), 2007.
  23. Mining approximate order preserving clusters in the presence of noise, by Mengsheng Zhang, Wei Wang, and Jinze Liu, Proceedings of the 24th IEEE International Conference on Data Engineering (ICDE), 2008, p. 160
  24. Split-order distance for clustering and classification hierarchies, by Zhang, Q., Liu, E. Y., Sarkar, A., and Wang, W., Proceedings of the 21st International Conference on Scientific and Statistical Database Management (SSDBM), 2009, p. 517.
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