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CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Predicting gene function by combining expression and interaction data
In this study we combined the spurious protein interaction data from the Database of Interacting Proteins with the recently published gene expression data of S. cerevisiae grown w...
Rogier J. P. van Berlo, Lodewyk F. A. Wessels, S. ...
WILF
2007
Springer
147views Fuzzy Logic» more  WILF 2007»
13 years 11 months ago
Fuzzy Ensemble Clustering for DNA Microarray Data Analysis
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact ...
Roberto Avogadri, Giorgio Valentini
HYBRID
2007
Springer
13 years 11 months ago
Switch Detection in Genetic Regulatory Networks
Abstract. This paper considers piecewise affine models of genetic regulatory networks and focuses on the problem of detecting switches among different modes of operation in gene e...
Riccardo Porreca, Giancarlo Ferrari-Trecate, Danie...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
13 years 11 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
DFG
2007
Springer
13 years 11 months ago
PointCloudXplore 2: Visual Exploration of 3D Gene Expression
: To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP) has developed a suit...
Oliver Rübel, Gunther H. Weber, Min-Yu Huang,...
IJCNN
2008
IEEE
13 years 11 months ago
Comparative study on normalization procedures for cluster analysis of gene expression datasets
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
Marcílio Carlos Pereira de Souto, Daniel S....
BIBM
2008
IEEE
108views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Systematic Evaluation of Scaling Methods for Gene Expression Data
Even after an experimentally prepared gene expression data set has been pre-processed to account for variations in the microarray technology, there may be inconsistencies between ...
Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Mi...
ICIC
2009
Springer
13 years 11 months ago
Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
Jin Zhou, Yuqi Pan, Yuehui Chen, Yang Liu
AIIA
2009
Springer
13 years 12 months ago
Ontology-Driven Co-clustering of Gene Expression Data
Abstract. The huge volume of gene expression data produced by microarrays and other high-throughput techniques has encouraged the development of new computational techniques to eva...
Francesca Cordero, Ruggero G. Pensa, Alessia Visco...
IV
2009
IEEE
155views Visualization» more  IV 2009»
13 years 12 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