187 search results - page 7 / 38 » Mining gene expression datasets using density-based clusteri... |
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Disease occurs due to aberrant modulation of biological pathways. Identification of activated gene pathways from gene expression data is an important problem. In this work, we de...
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BMCBI
2004
14 years 9 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
CBMS
2006
IEEE
14 years 11 months ago
2006
IEEE
In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissi...
BMCBI
2005
14 years 9 months ago
2005
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...