Sciweavers

122 search results - page 6 / 25
» Spot shape modelling and data transformations for microarray...
Sort
View
ICCSA
2005
Springer
14 years 1 months ago
A Penalized Likelihood Estimation on Transcriptional Module-Based Clustering
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...
Ryo Yoshida, Seiya Imoto, Tomoyuki Higuchi
CVPR
2008
IEEE
14 years 9 months ago
Computing minimal deformations: application to construction of statistical shape models
Nonlinear registration is mostly performed after initialization by a global, linear transformation (in this work, we focus on similarity transformations), computed by a linear reg...
Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali...
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Significance analysis of microarray for relative quantitation of LC/MS data in proteomics
Background: Although fold change is a commonly used criterion in quantitative proteomics for differentiating regulated proteins, it does not provide an estimation of false positiv...
Bryan A. P. Roxas, Qingbo Li
3DPVT
2002
IEEE
184views Visualization» more  3DPVT 2002»
14 years 14 days ago
From 3D Shape Capture to Animated Models
This paper presents a framework for construction of animated models from captured surface shape of real objects. Algorithms are introduced to transform the captured surface shape ...
Adrian Hilton, Jonathan Starck, Gordon Collins
BMCBI
2006
103views more  BMCBI 2006»
13 years 7 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux