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» Modeling Signs Using Functional Data Analysis
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WSC
2001
15 years 3 months ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor
133
Voted
ICASSP
2009
IEEE
15 years 8 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
ESWS
2006
Springer
15 years 5 months ago
On the Semantics of Functional Descriptions of Web Services
Functional descriptions are a central pillar of Semantic Web services. Disregarding details on how to invoke and consume the service, they shall provide a black box description for...
Uwe Keller, Holger Lausen, Michael Stollberg
BMCBI
2005
116views more  BMCBI 2005»
15 years 1 months ago
SuperLigands - a database of ligand structures derived from the Protein Data Bank
Background: Currently, the PDB contains approximately 29,000 protein structures comprising over 70,000 experimentally determined three-dimensional structures of over 5,000 differe...
Elke Michalsky, Mathias Dunkel, Andrean Goede, Rob...
IPPS
2008
IEEE
15 years 8 months ago
Supporting high performance bioinformatics flat-file data processing using indices
As an essential part of in vitro analysis, biological database query has become more and more important in the research process. A few challenges that are specific to bioinformat...
Xuan Zhang, Gagan Agrawal