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» Clustering Gene Expression Series with Prior Knowledge
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BMCBI
2005
113views more  BMCBI 2005»
13 years 7 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte
ICPR
2008
IEEE
14 years 8 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
NAR
2010
194views more  NAR 2010»
13 years 2 months ago
AltAnalyze and DomainGraph: analyzing and visualizing exon expression data
Alternative splicing is an important mechanism for increasing protein diversity. However, its functional effects are largely unknown. Here, we present our new software workflow co...
Dorothea Emig, Nathan Salomonis, Jan Baumbach, Tho...
BMCBI
2010
135views more  BMCBI 2010»
13 years 7 months ago
Lists2Networks: Integrated analysis of gene/protein lists
Background: Systems biologists are faced with the difficultly of analyzing results from large-scale studies that profile the activity of many genes, RNAs and proteins, applied in ...
Alexander Lachmann, Avi Ma'ayan
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
14 years 1 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi