187 search results - page 32 / 38 » Mining gene expression datasets using density-based clusteri... |
110
click to vote
ECML
2005
Springer
14 years 11 months ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
BMCBI
2007
14 years 9 months ago
2007
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
101
click to vote
BMCBI
2010
14 years 4 months ago
2010
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
107
click to vote
SDM
2009
SIAM
15 years 6 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...
BMCBI
2008
14 years 9 months ago
2008
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...