Jinze Liu

Yan Huang, Yin Hu, Corbin D. Jones, James N. MacLeod, Derek Y. Chiang, Yufeng Liu, Jan F. Prins, Jinze Liu: A Robust Method for Transcript Quantification with RNA-Seq Data. Journal of Computational Biology 20(3): 167-187 (2013)

Yan Huang, Yin Hu, Corbin D. Jones, James N. MacLeod, Derek Y. Chiang, Yufeng Liu, Jan F. Prins, Jinze Liu: A Robust Method for Transcript Quantification with RNA-seq Data. RECOMB 2012: 127-147

Darshan Singh, Christian F. Orellana, Yin Hu, Corbin D. Jones, Yufeng Liu, Derek Y. Chiang, Jinze Liu, Jan F. Prins: FDM: a graph-based statistical method to detect differential transcription using RNA-seq data. Bioinformatics 27(19): 2633-2640 (2011)

Yin Hu, Kai Wang, Xiaping He, Derek Y. Chiang, Jan F. Prins, Jinze Liu: A probabilistic framework for aligning paired-end RNA-seq data. Bioinformatics 26(16): 1950-1957 (2010)

Stephen J. Coleman, Zheng Zeng, Jinze Liu, James N. MacLeod: Analysis of equine protein-coding gene structure and expression by RNA-sequencing. BMC Bioinformatics 11(S-4): O8 (2010)

Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha: Functional neighbors: inferring relationships between nonhomologous protein families using family-specific packing motifs. IEEE Transactions on Information Technology in Biomedicine 14(5): 1137-1143 (2010)

Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang: Unsupervised learning of high-order structural semantics from images. ICCV 2009: 2122-2129

Lian Liu, Jie Wang, Jinze Liu, Jun Zhang: Privacy Preservation in Social Networks with Sensitive Edge Weights. SDM 2009: 954-965

Jinze Liu: Approximation of Frequent Itemsets. Encyclopedia of Database Systems 2009: 120-124

Peter Huggins, Wenbin Li, David Haws, Thomas Friedrich, Jinze Liu, Ruriko Yoshida: Bayes estimators for phylogenetic reconstruction. CoRR abs/0911.0645 (2009)

Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha: Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs. BIBM 2008: 199-206

Mengsheng Zhang, Wei Wang, Jinze Liu: Mining Approximate Order Preserving Clusters in the Presence of Noise. ICDE 2008: 160-168

Qi Zhang, Jinze Liu, Wei Wang: Approximate Clustering on Distributed Data Streams. ICDE 2008: 1131-1139

Qi Zhang, Jinze Liu, Wei Wang: Incremental Subspace Clustering over Multiple Data Streams. ICDM 2007: 727-732

Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins: PoClustering: Lossless Clustering of Dissimilarity Data. SDM 2007

Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins: Clustering pair-wise dissimilarity data into partially ordered sets. KDD 2006: 637-642

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

Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan Prins: Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis. SDM 2006

Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan Prins: Mining Approximate Frequent Itemsets from Noisy Data. ICDM 2005: 721-724

Jinze Liu, Jiong Yang, Wei Wang: Biclustering in Gene Expression Data by Tendency. CSB 2004: 182-193

Jinze Liu, Wei Wang, Jiong Yang: Gene Ontology Friendly Biclustering of Expression Profiles. CSB 2004: 436-447

Jinze Liu, Karl Strohmaier, Wei Wang: Revealing True Subspace Clusters in High Dimensions. ICDM 2004: 463-466

Jinze Liu, Wei Wang, Jiong Yang: A framework for ontology-driven subspace clustering. KDD 2004: 623-628

Jinze Liu, Wei Wang: OP-Cluster: Clustering by Tendency in High Dimensional Space. ICDM 2003: 187-194