Xuequn Shang

According to our database1, Xuequn Shang
  • authored at least 29 papers between 2004 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Isometric hashing for image retrieval.
Sig. Proc.: Image Comm., 2017

A novel method to measure the semantic similarity of HPO terms.
IJDMB, 2017

Investigations on factors influencing HPO-based semantic similarity calculation.
J. Biomedical Semantics, 2017

Net2Image: A Network Representation Method for Identifying Cancer-Related Genes.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2016
Constrained query of order-preserving submatrix in gene expression data.
Frontiers of Computer Science, 2016

Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets.
SCIENCE CHINA Information Sciences, 2016

Measuring phenotype semantic similarity using Human Phenotype Ontology.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Analyzing factors involved in the HPO-based semantic similarity calculation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
A two-step logistic regression algorithm for identifying individual-cancer-related genes.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Identification of protein complexes and functional modules in integrated PPI networks.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Revealing the Causes of Dynamic Change in Protein-Protein Interaction Network.
Proceedings of the IEEE International Congress on Big Data, 2013

2011
MFC: Mining Maximal Frequent Dense Subgraphs without Candidate Maintenance in Imbalanced PPI Networks.
JSW, 2011

MFCluster: Mining Maximal Fault-Tolerant Constant Row Biclusters in Microarray Dataset.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011

FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Efficient Mining Frequent Closed Discriminative Biclusters by Sample-Growth: The FDCluster Approach.
IJKDB, 2010

FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets.
Proceedings of the ICDMW 2010, 2010

WIBE: Mining Frequent Closed Patterns Without Candidate Maintenance in Microarray Dataset.
Proceedings of The 2010 International Conference on Data Mining, 2010

2009
Mining functional associated patterns from biological network data.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Mining High-Correlation Association Rules for Inferring Gene Regulation Networks.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008
Sequential Pattern Mining for Protein Function Prediction.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
Processing Sequential Patterns in Relational Databases.
J. Data Semantics, 2007

A Survey of Frequent Pattern Mining for Biological Datasets.
Proceedings of the 2007 International Conference on Data Mining, 2007

2005
SQL based frequent pattern mining.
PhD thesis, 2005

Depth-first frequent itemset mining in relational databases.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Frequent Itemset Mining with Parallel RDBMS.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Processing Sequential Patterns in Relational Databases.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

2004
SQL Based Frequent Pattern Mining with FP-Growth.
Proceedings of the Applications of Declarative Programming and Knowledge Management, 2004

SQL based frequent pattern mining without candidate generation.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Efficient Frequent Pattern Mining in Relational Databases.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004


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