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BMCBI
2008
121views more  BMCBI 2008»
15 years 4 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
CSDA
2006
103views more  CSDA 2006»
15 years 4 months ago
LASS: a tool for the local analysis of self-similarity
The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimat...
Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, Geor...
ICECCS
1996
IEEE
209views Hardware» more  ICECCS 1996»
15 years 8 months ago
Coupling-based Integration Testing
This research is part of a project to develop practical, effective, formalizable, automatable techniques for integration testing. Integration testing is an important part of the t...
Zhenyi Jin, A. Jefferson Offutt
141
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ESANN
2007
15 years 5 months ago
Causality analysis of LFPs in micro-electrode arrays based on mutual information
Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
Nikolay V. Manyakov, Marc M. Van Hulle
ICML
2008
IEEE
16 years 5 months ago
A least squares formulation for canonical correlation analysis
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projects both sets of variables int...
Liang Sun, Shuiwang Ji, Jieping Ye