Sciweavers

142 search results - page 8 / 29
» A new approach to analyzing gene expression time series data
Sort
View
CLEIEJ
2007
152views more  CLEIEJ 2007»
14 years 9 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
IV
2009
IEEE
155views Visualization» more  IV 2009»
15 years 4 months ago
Visualizing Temporal Dynamics at the Genomic and Metabolic Level
We present an application for integrated visualization of gene expression data from time series experiments in gene regulation networks and metabolic networks. Such integration is...
Romain Bourqui, Michel A. Westenberg
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
15 years 3 months ago
Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene r...
Christian Spieth, Felix Streichert, Nora Speer, An...
BMCBI
2002
188views more  BMCBI 2002»
14 years 9 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
BMCBI
2010
176views more  BMCBI 2010»
14 years 10 months ago
Reverse engineering gene regulatory network from microarray data using linear time-variant model
nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
Mitra Kabir, Nasimul Noman, Hitoshi Iba