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BMCBI
2008
142views more  BMCBI 2008»
15 years 7 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
BMCBI
2010
135views more  BMCBI 2010»
15 years 7 months ago
Integration and visualization of systems biology data in context of the genome
Background: High-density tiling arrays and new sequencing technologies are generating rapidly increasing volumes of transcriptome and protein-DNA interaction data. Visualization a...
J. Christopher Bare, Tie Koide, David J. Reiss, Da...
BMCBI
2005
167views more  BMCBI 2005»
15 years 6 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
BMCBI
2010
219views more  BMCBI 2010»
15 years 1 months ago
BiologicalNetworks 2.0 - an integrative view of genome biology data
Background: A significant problem in the study of mechanisms of an organism's development is the elucidation of interrelated factors which are making an impact on the differe...
Sergey Kozhenkov, Yulia Dubinina, Mayya Sedova, Am...
TITB
2008
110views more  TITB 2008»
15 years 6 months ago
Context-Sensitive Correlation of Implicitly Related Data: An Episode Creation Methodology
Episode creation is the task of classifying medical events and related clinical data to high-level concepts, such as diseases. Challenges in episode creation result in part because...
Roderick Y. Son, Ricky K. Taira, Hooshang Kangarlo...