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BMCBI
2007
134views more  BMCBI 2007»
15 years 4 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
BMCBI
2006
203views more  BMCBI 2006»
15 years 4 months ago
Genome-wide prediction of transcriptional regulatory elements of human promoters using gene expression and promoter analysis dat
Background: A complete understanding of the regulatory mechanisms of gene expression is the next important issue of genomics. Many bioinformaticians have developed methods and alg...
Seon-Young Kim, YongSung Kim
JSS
2000
86views more  JSS 2000»
15 years 3 months ago
Quantitative analysis of static models of processes
The upstream activities of software development projects are often viewed as both the most important, the least understood, and hence the most problematic. This is particularly no...
Keith Phalp, Martin J. Shepperd
PAMI
2012
13 years 6 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
ICCAD
2003
IEEE
195views Hardware» more  ICCAD 2003»
15 years 9 months ago
Vectorless Analysis of Supply Noise Induced Delay Variation
The impact of power supply integrity on a design has become a critical issue, not only for functional verification, but also for performance verification. Traditional analysis has...
Sanjay Pant, David Blaauw, Vladimir Zolotov, Savit...