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139
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BMCBI
2006
115views more  BMCBI 2006»
15 years 3 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
138
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KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 4 months ago
Support envelopes: a technique for exploring the structure of association patterns
This paper introduces support envelopes--a new tool for analyzing association patterns--and illustrates some of their properties, applications, and possible extensions. Specifical...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 1 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
146
Voted
CGF
2008
201views more  CGF 2008»
15 years 3 months ago
High-Resolution Volumetric Computation of Offset Surfaces with Feature Preservation
We present a new algorithm for the efficient and reliable generation of offset surfaces for polygonal meshes. The algorithm is robust with respect to degenerate configurations and...
Darko Pavic, Leif Kobbelt
135
Voted
BMCBI
2008
121views more  BMCBI 2008»
15 years 3 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...