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» An integrative approach to modeling biological networks
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NC
2010
150views Neural Networks» more  NC 2010»
13 years 6 months ago
Deterministic and stochastic P systems for modelling cellular processes
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates th...
Marian Gheorghe, Vincenzo Manca, Francisco Jos&eac...
ICCBR
2005
Springer
14 years 1 months ago
Knowledge Intensive Case Based Support for Automated Explanation of Biological Phenomena
The rapid growth of data stored in molecular biology-related databases has stimulated the development of integrative tools for retrieval and presentation of the data in the form of...
Waclaw Kusnierczyk, Agnar Aamodt, Astrid Læg...
BIBE
2007
IEEE
153views Bioinformatics» more  BIBE 2007»
13 years 9 months ago
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
Juliette Blanchet, Matthieu Vignes
BIB
2008
93views more  BIB 2008»
13 years 7 months ago
A structured approach for the engineering of biochemical network models, illustrated for signalling pathways
Quantitative models of biochemical networks (signal transduction cascades, metabolic pathways, gene regulatory circuits) are a central component of modern systems biology. Buildin...
Rainer Breitling, David Gilbert, Monika Heiner, Ri...
BMCBI
2006
174views more  BMCBI 2006»
13 years 7 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...