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HIPC
2009
Springer
14 years 11 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
15 years 7 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
15 years 8 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»
15 years 1 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
15 years 2 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...