Sciweavers

1305 search results - page 73 / 261
» Clustering Genes Using Heterogeneous Data Sources
Sort
View
136
Voted
BMCBI
2008
122views more  BMCBI 2008»
15 years 2 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
114
Voted
DEXA
2004
Springer
110views Database» more  DEXA 2004»
15 years 8 months ago
An a Priori Approach for Automatic Integration of Heterogeneous and Autonomous Databases
Data integration is the process that gives users access to multiple data sources though queries against a global schema. Semantic heterogeneity has been identified as the most imp...
Ladjel Bellatreche, Guy Pierra, Dung Nguyen Xuan, ...
SIGMOD
1997
ACM
127views Database» more  SIGMOD 1997»
15 years 6 months ago
Infomaster: An Information Integration System
Infomaster is an information integration system that provides integrated access tomultiple distributed heterogeneous information sources on the Internet, thus giving the illusion ...
Michael R. Genesereth, Arthur M. Keller, Oliver M....
157
Voted
BMCBI
2007
130views more  BMCBI 2007»
15 years 2 months ago
A robust measure of correlation between two genes on a microarray
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
Johanna S. Hardin, Aya Mitani, Leanne Hicks, Brian...
110
Voted
BIB
2008
74views more  BIB 2008»
15 years 2 months ago
The relative value of operon predictions
For most organisms, computational operon predictions are the only source of genome-wide operon information. Operon prediction methods described in literature are based on (a combi...
Rutger W. W. Brouwer, Oscar P. Kuipers, Sacha A. F...