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» Clustering Genes Using Heterogeneous Data Sources
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CLEANDB
2006
ACM
113views Database» more  CLEANDB 2006»
14 years 4 months ago
Column Heterogeneity as a Measure of Data Quality
Data quality is a serious concern in every data management application, and a variety of quality measures have been proposed, including accuracy, freshness and completeness, to ca...
Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh ...
BMCBI
2006
183views more  BMCBI 2006»
13 years 11 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
APBC
2004
164views Bioinformatics» more  APBC 2004»
14 years 9 days ago
Cluster Ensemble and Its Applications in Gene Expression Analysis
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
Xiaohua Hu, Illhoi Yoo
BMCBI
2008
138views more  BMCBI 2008»
13 years 11 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
CSB
2005
IEEE
121views Bioinformatics» more  CSB 2005»
14 years 4 months ago
Clustering Genes Using Gene Expression and Text Literature Data
Chengyong Yang, Erliang Zeng, Tao Li, Giri Narasim...