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167
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CVPR
2012
IEEE
13 years 6 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
160
Voted
JBI
2004
171views Bioinformatics» more  JBI 2004»
15 years 5 months ago
Consensus Clustering and Functional Interpretation of Gene Expression Data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...
196
Voted
BMCBI
2010
277views more  BMCBI 2010»
15 years 3 months ago
PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms
Background: Several tools have been developed to explore and search Gene Ontology (GO) databases allowing efficient GO enrichment analysis and GO tree visualization. Nevertheless,...
Marc Bruckskotten, Mario Looso, Franz Cemic, Anne ...
137
Voted
LCTRTS
2009
Springer
15 years 10 months ago
Eliminating the call stack to save RAM
Most programming languages support a call stack in the programming model and also in the runtime system. We show that for applications targeting low-power embedded microcontroller...
Xuejun Yang, Nathan Cooprider, John Regehr
174
Voted
BMCBI
2011
14 years 10 months ago
PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
Background: OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples upon exposure to hundreds of growth condit...
Wenling E. Chang, Keri Sarver, Brandon W. Higgs, T...