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122
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
115
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JSCIC
2008
15 years 2 months ago
2008
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice systems. We emphasize the numerical analysis of the schemes, focusing on error ...
161
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HIPC
2009
Springer
15 years 3 days ago
2009
Springer
Abstract--Microarray-based comparative genomic hybridization (aCGH) offers an increasingly fine-grained method for detecting copy number variations in DNA. These copy number variat...
108
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ICIP
2002
IEEE
16 years 3 months ago
2002
IEEE
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
114
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ISBRA
2007
Springer
15 years 8 months ago
2007
Springer
Characterized by simultaneous measurement of the effects of experimental factors and their interactions, the economic and efficient factorial design is well accepted in microarray ...