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Erschienen in: Neural Computing and Applications 3-4/2003

01.12.2003 | Original Article

A neuro-fuzzy approach for functional genomics data interpretation and analysis

verfasst von: Daniel Neagu, Vasile Palade

Erschienen in: Neural Computing and Applications | Ausgabe 3-4/2003

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Abstract

The paper is concerned about the application of neuro-fuzzy techniques for the functional analysis of gene expression data from microarray experiments. The objective of this paper is to learn and predict functional classes of the E. coli genes using neuro-fuzzy based techniques, such as modular neuro and neuro-fuzzy networks. Methods of combining explicit and implicit knowledge in functional interpretation and analysis of gene expression data are proposed.

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Metadaten
Titel
A neuro-fuzzy approach for functional genomics data interpretation and analysis
verfasst von
Daniel Neagu
Vasile Palade
Publikationsdatum
01.12.2003
Verlag
Springer-Verlag
Erschienen in
Neural Computing and Applications / Ausgabe 3-4/2003
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-003-0388-6

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