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FLAIRS
2004
15 years 3 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
BIOINFORMATICS
2010
170views more  BIOINFORMATICS 2010»
15 years 2 months ago
Joint estimation of DNA copy number from multiple platforms
DNA copy number variants (CNV) are gains and losses of segments of chromosomes, and comprise an important class of genetic variation. Recently, various microarray hybridization ba...
Nancy R. Zhang, Yasin Senbabaoglu, Jun Z. Li
BMCBI
2010
158views more  BMCBI 2010»
15 years 2 months ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
Corey M. Yanofsky, David R. Bickel
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BMCBI
2008
108views more  BMCBI 2008»
15 years 2 months ago
SPRINT: A new parallel framework for R
Background: Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of t...
Jon Hill, Matthew Hambley, Thorsten Forster, Murie...
TMI
2002
96views more  TMI 2002»
15 years 1 months ago
Imaging of spatiotemporal coincident states by DC optical tomography
The utility of optical tomography as a practical imaging modality has, thus far, been limited by its intrinsically low spatial resolution and quantitative accuracy. Recently, we ha...
Harry L. Graber, Yaling Pei, Randall L. Barbour