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» Modeling Signs Using Functional Data Analysis
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DAC
2002
ACM
14 years 8 months ago
Hole analysis for functional coverage data
One of the main goals of coverage tools is to provide the user with informative presentation of coverage information. Specifically, information on large, cohesive sets of uncovere...
Oded Lachish, Eitan Marcus, Shmuel Ur, Avi Ziv
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal
ICCV
2011
IEEE
12 years 7 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
JCS
2006
157views more  JCS 2006»
13 years 7 months ago
Analysis of probabilistic contract signing
We present three case studies, investigating the use of probabilistic model checking to automatically analyse properties of probabilistic contract signing protocols. We use the pr...
Gethin Norman, Vitaly Shmatikov
BMCBI
2006
120views more  BMCBI 2006»
13 years 7 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu