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» Statistical technology mapping for parametric yield
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BMCBI
2005
212views more  BMCBI 2005»
13 years 7 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
ISQED
2007
IEEE
372views Hardware» more  ISQED 2007»
14 years 2 months ago
From Finance to Flip Flops: A Study of Fast Quasi-Monte Carlo Methods from Computational Finance Applied to Statistical Circuit
Problems in computational finance share many of the characteristics that challenge us in statistical circuit analysis: high dimensionality, profound nonlinearity, stringent accura...
Amith Singhee, Rob A. Rutenbar
FTEDA
2006
137views more  FTEDA 2006»
13 years 7 months ago
Statistical Performance Modeling and Optimization
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
Xin Li, Jiayong Le, Lawrence T. Pileggi
CODES
2010
IEEE
13 years 5 months ago
Statistical approach in a system level methodology to deal with process variation
The impact of process variation in state of the art technology makes traditional (worst case) designs unnecessarily pessimistic, which translates to suboptimal designs in terms of...
Concepción Sanz Pineda, Manuel Prieto, Jos&...
FBIT
2007
IEEE
13 years 11 months ago
Mapping Genetic Influences on Brain Shape Using Multi-Atlas Fluid Image Alignment
In this pilot study, we developed a set of computer vision based surface segmentation and statistical shape analysis algorithms to study genetic influences on brain structure in a...
Meena Mani, Yi-Yu Chou, Natasha Lepore, Agatha D. ...