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IMSCCS
2006
IEEE
13 years 11 months ago
Estimation Of Cross-Hybridization Signals Using Support Vector Regression
Microarray technology is a powerful biotechnology tool which allows researchers to simultaneously evaluate the expression of thousands of genes, if not the entire expressed genome...
Yijun Sun, Li Liu, Mick Popp, William G. Farmerie
BIBE
2006
IEEE
139views Bioinformatics» more  BIBE 2006»
13 years 11 months ago
A Computational Inference Framework for analyzing Gene Regulation Pathway using Microarray Data
Microarray experiments produce gene expression data at such a high speed and volume that it is imperative to use highly specialized computational tools for their analyses. One grou...
Dong-Guk Shin, John Bluis, Yoo Ah Kim, Winfried Kr...
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
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
13 years 11 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
Jano I. van Hemert, Richard A. Baldock
AB
2007
Springer
13 years 11 months ago
Attenuation Regulation as a Term Rewriting System
Abstract The classical attenuation regulation of gene expression in bacteria is considered. We propose to represent the secondary RNA structure in the leader region of a gene or an...
Eugene Asarin, Thierry Cachat, Alexander Seliverst...
ICTAI
2007
IEEE
13 years 11 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas
BIBE
2007
IEEE
191views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
PANP - a New Method of Gene Detection on Oligonucleotide Expression Arrays
Abstract. Currently, the method most used for gene detection calls on Affymetrix oligonucleotide arrays is provided as part of the MAS5.0 software. The MAS method uses Wilcoxon sta...
Peter Warren, Deanne Taylor, Paolo G. V. Martini, ...
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
BIBE
2007
IEEE
195views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Finding Clusters of Positive and Negative Coregulated Genes in Gene Expression Data
— In this paper, we propose a system for finding partial positive and negative coregulated gene clusters in microarray data. Genes are clustered together if they show the same p...
Kerstin Koch, Stefan Schönauer, Ivy Jansen, J...
BIBE
2007
IEEE
155views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
Yinyin Yuan, Chang-Tsun Li