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BMCBI
2005
112views more  BMCBI 2005»
13 years 10 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
IJHPCA
2007
88views more  IJHPCA 2007»
13 years 10 months ago
Scaling Properties of Common Statistical Operators for Gridded Datasets
An accurate cost-model that accounts for dataset size and structure can help optimize geoscience data analysis. We develop and apply a computational model to estimate data analysi...
Charles S. Zender, Harry Mangalam
ICDE
2010
IEEE
189views Database» more  ICDE 2010»
14 years 10 months ago
I/O-Efficient Statistical Computing with RIOT
Statistical analysis of massive data is becoming indispensable to science, commerce, and society today. Such analysis requires efficient, flexible storage support and special optim...
Jun Yang 0001, Weiping Zhang, Yi Zhang
BMCBI
2010
190views more  BMCBI 2010»
13 years 10 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
SSDBM
1996
IEEE
168views Database» more  SSDBM 1996»
14 years 2 months ago
Data Mining: Machine Learning, Statistics, and Databases
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets. We give an overview of the area and present someof the research is...
Heikki Mannila