BMCBI
2011
13 years 7 months ago
2011
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
BMCBI
2005
14 years 10 days ago
2005
Background: Recent analysis of the yeast gene network shows that most genes have few inputs, indicating that enumerative gene reconstruction methods are both useful and computatio...
JCB
2006
14 years 12 days ago
2006
This paper presents a discrete-event approach to synthesis of transcription control for a class of (computational) gene networks. Given a set of genes and protein-gene and/or prote...
ESWA
2006
14 years 13 days ago
2006
Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...
BMCBI
2007
14 years 13 days ago
2007
Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
BMCBI
2007
14 years 16 days ago
2007
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
BIOSYSTEMS
2007
14 years 16 days ago
2007
This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while ...
AUTOMATICA
2008
14 years 17 days ago
2008
This article introduces results on the control of gene networks, in the context of piecewise-affine models. We propose an extension of this well-documented class of models, where ...
ICASSP
2010
IEEE
14 years 19 days ago
2010
IEEE
In order to structure a gene network, a score-based approach is often used. A score-based approach, however, is problematic because by assuming a probability distribution, one is ...
ISDA
2008
IEEE
14 years 6 months ago
2008
IEEE
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...