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» Gene set analysis using principal components
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ECCV
2010
Springer
15 years 10 months ago
3D Point Correspondence by Minimum Description Length in Feature Space
Abstract. Finding point correspondences plays an important role in automatically building statistical shape models from a training set of 3D surfaces. For the point correspondence ...
COMPGEOM
2004
ACM
15 years 10 months ago
The corner arc algorithm
In a landmark survey of visibility algorithms in 1974, Sutherland, Sproull, and Schumacker stated that “We believe the principal untapped source of help for hidden surface algor...
Olaf A. Hall-Holt
BMCBI
2008
169views more  BMCBI 2008»
15 years 4 months ago
CompMoby: Comparative MobyDick for detection of cis-regulatory motifs
Background: The regulation of gene expression is complex and occurs at many levels, including transcriptional and post-transcriptional, in metazoans. Transcriptional regulation is...
Christina Chaivorapol, Collin Melton, Grace Wei, R...
BMCBI
2008
160views more  BMCBI 2008»
15 years 4 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
CCE
2007
15 years 4 months ago
A systematic approach for soft sensor development
This paper presents a systematic approach based on robust statistical techniques for development of a data-driven soft sensor, which is an important component of the process analy...
Bao Lin, Bodil Recke, Jørgen K. H. Knudsen,...