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HIPC
2009
Springer
13 years 2 months ago
Comparing the performance of clusters, Hadoop, and Active Disks on microarray correlation computations
Abstract--Microarray-based comparative genomic hybridization (aCGH) offers an increasingly fine-grained method for detecting copy number variations in DNA. These copy number variat...
Jeffrey A. Delmerico, Nathanial A. Byrnes, Andrew ...
WCNC
2008
IEEE
13 years 11 months ago
Analysis of Interference from Large Clusters as Modeled by the Sum of Many Correlated Lognormals
Abstract—We examine the statistical distribution of the interference produced by a cluster of very many co-channel interferers, e.g., a sensor network, or a city full of active w...
Sebastian S. Szyszkowicz, Halim Yanikomeroglu
ISBI
2009
IEEE
13 years 11 months ago
Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis
Traditional fMRI analysis has focused on modeling temporal changes in BOLD signals on a voxel-by-voxel basis to infer brain activation. To incorporate spatial information, we have...
Bernard Ng, Rafeef Abugharbieh, Martin McKeown
BMCBI
2007
198views more  BMCBI 2007»
13 years 5 months ago
Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation
Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
Nicola Neretti, Daniel Remondini, Marc Tatar, John...
APPINF
2003
13 years 6 months ago
Seismic Signal Analysis using Correlation Dimension
Multifractal analysis is a new and promising approach to analyze and characterize non-stationary signals such as seismic signals, electrocardiograms, heart rate variability signal...
Soundararajan Ezekiel, Matthew J. Barrick, Matthew...