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» Analysis of Variance for Gene Expression Microarray Data
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PRL
2006
130views more  PRL 2006»
15 years 6 months ago
Efficient huge-scale feature selection with speciated genetic algorithm
With increasing interest in bioinformatics, sophisticated tools are required to efficiently analyze gene information. The classification of gene expression profiles is crucial in ...
Jin-Hyuk Hong, Sung-Bae Cho
BMCBI
2008
117views more  BMCBI 2008»
15 years 6 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
CANDC
2005
ACM
15 years 6 months ago
Comments on selected fundamental aspects of microarray analysis
Microarrays are becoming a ubiquitous tool of research in life sciences. However, the working principles of microarray-based methodologies are often misunderstood or apparently ig...
Alessandra Riva, Anne-Sophie Carpentier, Bruno Tor...
NIPS
2003
15 years 7 months ago
Gene Expression Clustering with Functional Mixture Models
We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
Darya Chudova, Christopher E. Hart, Eric Mjolsness...
BMCBI
2010
167views more  BMCBI 2010»
15 years 6 months ago
Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of met
Background: Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment. While these lists represent an accurat...
Melissa J. Morine, Jolene McMonagle, Sinead Toomey...