35 search results - page 3 / 7 » Genetic weighted k-means algorithm for clustering large-scal... |
CSDA
2008
13 years 7 months ago
2008
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
GECCO
2003
Springer
14 years 21 days ago
2003
Springer
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
WOB
2004
13 years 8 months ago
2004
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...