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» Gene set analysis using principal components
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140
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SMA
2009
ACM
132views Solid Modeling» more  SMA 2009»
15 years 10 months ago
Robust Voronoi-based curvature and feature estimation
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
Quentin Mérigot, Maks Ovsjanikov, Leonidas ...
131
Voted
BMCBI
2010
135views more  BMCBI 2010»
15 years 3 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
BMCBI
2004
108views more  BMCBI 2004»
15 years 3 months ago
Improving the scaling normalization for high-density oligonucleotide GeneChip expression microarrays
Background: Normalization is an important step for microarray data analysis to minimize biological and technical variations. Choosing a suitable approach can be critical. The defa...
Chao Lu
127
Voted
ESA
2005
Springer
135views Algorithms» more  ESA 2005»
15 years 9 months ago
: Standard Template Library for XXL Data Sets
Abstract. We present a software library Stxxl, that enables practiceoriented experimentation with huge data sets. Stxxl is an implementation of the C++ standard template library ST...
Roman Dementiev, Lutz Kettner, Peter Sanders
139
Voted
MICCAI
2003
Springer
16 years 4 months ago
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance
Abstract. When developing statistical models of normal brain perfusion, two questions are of crucial interest: How well does an atlas describe normality and how sensitive is it at ...
Torbjørn Vik, Fabrice Heitz, Jean-Paul Arms...