451 search results - page 84 / 91 » Context-specific Bayesian clustering for gene expression dat... |
TKDE
2010
13 years 2 months ago
2010
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
HIPC
2009
Springer
13 years 5 months ago
2009
Springer
Abstract--Microarray-based comparative genomic hybridization (aCGH) offers an increasingly fine-grained method for detecting copy number variations in DNA. These copy number variat...
EVOW
2006
Springer
13 years 11 months ago
2006
Springer
In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
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...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...