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» Using Goal-Models to Analyze Variability
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BMCBI
2002
119views more  BMCBI 2002»
13 years 7 months ago
Microarray results: how accurate are they?
Background: DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips,...
Ravi Kothapalli, Sean J. Yoder, Shrikant Mane, Tho...
BMCBI
2005
163views more  BMCBI 2005»
13 years 7 months ago
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
WSC
2001
13 years 8 months ago
Dimensionality analysis of a simulation outcome space
This paper investigates the dimensionality characteristics of the outcome space of a combat simulation. The independent state variables of all of the outcome states for a simulati...
John B. Gilmer Jr., Frederick J. Sullivan
TRECVID
2007
13 years 8 months ago
PicSOM Experiments in TRECVID 2007
Our experiments in TRECVID 2007 include participation in the high-level feature extraction, search, and video summarization tasks, using a common system framework based on multipl...
Markus Koskela, Mats Sjöberg, Ville Viitaniem...
ICCAD
2006
IEEE
101views Hardware» more  ICCAD 2006»
14 years 4 months ago
A spectrally accurate integral equation solver for molecular surface electrostatics
Electrostatic analysis of complicated molecular surfaces arises in a number of nanotechnology applications including: biomolecule design, carbon nanotube simulation, and molecular...
Shih-Hsien Kuo, Jacob White