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ICML
2009
IEEE
14 years 5 months ago
A scalable framework for discovering coherent co-clusters in noisy data
Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk...
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
13 years 11 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
KDD
2003
ACM
152views Data Mining» more  KDD 2003»
14 years 5 months ago
Interactive exploration of coherent patterns in time-series gene expression data
Discovering coherent gene expression patterns in time-series gene expression data is an important task in bioinformatics research and biomedical applications. In this paper, we pr...
Daxin Jiang, Jian Pei, Aidong Zhang
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 5 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
BIBE
2004
IEEE
107views Bioinformatics» more  BIBE 2004»
13 years 8 months ago
Enhanced pClustering and Its Applications to Gene Expression Data
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
Sungroh Yoon, Christine Nardini, Luca Benini, Giov...