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BIODATAMINING
2008
178views more  BIODATAMINING 2008»
14 years 9 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje
87
Voted
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 3 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
BIBE
2006
IEEE
138views Bioinformatics» more  BIBE 2006»
15 years 3 months ago
Assigning Schema Labels Using Ontology And Hueristics
Bioinformatics data is growing at a phenomenal rate. Besides the exponential growth of individual databases, the number of data depositories is increasing too. Because of the comp...
Xuan Zhang, Ruoming Jin, Gagan Agrawal
ISMB
2000
14 years 11 months ago
Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Ro...
62
Voted
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
15 years 3 months ago
Mining for Tree-Query Associations in a Graph
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Eveline Hoekx, Jan Van den Bussche