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» An integrative approach to modeling biological networks
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FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 9 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
CMSB
2010
Springer
15 years 1 months ago
Action-based analysis of discrete regulatory networks with short-term stimuli
To incorporate instant effects and different timescales within a single biological system, an extension of discrete regulatory networks with short-term stimuli is proposed. By mai...
Christian Krause, Carola Krause, Erik P. de Vink
BMCBI
2006
202views more  BMCBI 2006»
15 years 6 months ago
DWARF - a data warehouse system for analyzing protein families
Background: The emerging field of integrative bioinformatics provides the tools to organize and systematically analyze vast amounts of highly diverse biological data and thus allo...
Markus Fischer, Quan K. Thai, Melanie Grieb, J&uum...
AB
2007
Springer
16 years 14 days ago
Relating Attractors and Singular Steady States in the Logical Analysis of Bioregulatory Networks
Abstract. In 1973 R. Thomas introduced a logical approach to modeling and analysis of bioregulatory networks. Given a set of Boolean functions describing the regulatory interaction...
Heike Siebert, Alexander Bockmayr
ICMCS
2005
IEEE
246views Multimedia» more  ICMCS 2005»
15 years 12 months ago
A SOM-wavelet networks for face identification
This paper describes a novel SOM-Wavelet Networks method for face recognition. We employed a SOM algorithm, which is based on the structure of a biological model, to extract shape...
Yang Zhi, Gu Ming