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» Using Formal Concept Analysis for Microarray Data Comparison
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BMCBI
2006
202views more  BMCBI 2006»
13 years 7 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
ICFCA
2010
Springer
14 years 16 days ago
A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing
A feature of Formal Concept Analysis is the use of the line diagram of the concept lattice to visualize a conceptual space. The line diagram is a specialized form of Hasse diagram ...
Peter W. Eklund, Jean Villerd
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
13 years 5 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
BMCBI
2008
107views more  BMCBI 2008»
13 years 7 months ago
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
Tommy S. Jørstad, Herman Midelfart, Atle M....
IEE
2008
97views more  IEE 2008»
13 years 7 months ago
Object-oriented concept analysis for software modularisation
: Modularity is one of the most important principles in software engineering and a necessity for every practical software. Since the design space of software is generally quite lar...
H. H. Kim, Doo-Hwan Bae