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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2008
173views more  BMCBI 2008»
15 years 3 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
BMCBI
2005
144views more  BMCBI 2005»
15 years 3 months ago
Redefinition of Affymetrix probe sets by sequence overlap with cDNA microarray probes reduces cross-platform inconsistencies in
Background: Comparison of data produced on different microarray platforms often shows surprising discordance. It is not clear whether this discrepancy is caused by noisy data or b...
Scott L. Carter, Aron C. Eklund, Brigham H. Mecham...
PAMI
2007
202views more  PAMI 2007»
15 years 2 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
BMCBI
2007
133views more  BMCBI 2007»
15 years 3 months ago
Semantic integration to identify overlapping functional modules in protein interaction networks
Background: The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be ...
Young-Rae Cho, Woochang Hwang, Murali Ramanathan, ...
CONEXT
2006
ACM
15 years 9 months ago
Synergy: blending heterogeneous measurement elements for effective network monitoring
Network traffic matrices are important for various network planning and management operations. Previous work for estimation of traffic matrices is based on either link load record...
Awais Ahmed Awan, Andrew W. Moore