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» Modeling Signs Using Functional Data Analysis
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BMCBI
2005
109views more  BMCBI 2005»
15 years 1 months ago
Automation of gene assignments to metabolic pathways using high-throughput expression data
Background: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing ...
Liviu Popescu, Golan Yona
SADFE
2007
IEEE
15 years 8 months ago
Toward Models for Forensic Analysis
The existing solutions in the field of computer forensics are largely ad hoc. This paper discusses the need for a rigorous model of forensics and outlines qualities that such a m...
Sean Peisert, Matt Bishop, Sidney Karin, Keith Mar...
ESANN
2006
15 years 3 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
TCBB
2008
76views more  TCBB 2008»
15 years 1 months ago
Hadamard Conjugation for the Kimura 3ST Model: Combinatorial Proof Using Path Sets
Under a stochastic model of molecular sequence evolution the probability of each possible pattern of characters is well defined. The Kimura's three-substitution-types (K3ST) m...
Michael D. Hendy, Sagi Snir
IJON
2006
148views more  IJON 2006»
15 years 1 months ago
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis
Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented...
Jörn Anemüller, Jeng-Ren Duann, Terrence...