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» Analysis of Variance for Gene Expression Microarray Data
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GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
15 years 7 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton
EMO
2005
Springer
108views Optimization» more  EMO 2005»
15 years 7 months ago
Multi-objective Model Optimization for Inferring Gene Regulatory Networks
With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological proc...
Christian Spieth, Felix Streichert, Nora Speer, An...
BMCBI
2005
115views more  BMCBI 2005»
15 years 1 months ago
MPrime: efficient large scale multiple primer and oligonucleotide design for customized gene microarrays
Background: Enhancements in sequencing technology have recently yielded assemblies of large genomes including rat, mouse, human, fruit fly, and zebrafish. The availability of larg...
Eric C. Rouchka, Abdelnaby Khalyfa, Nigel G. F. Co...
BMCBI
2006
95views more  BMCBI 2006»
15 years 1 months ago
A simple method for assessing sample sizes in microarray experiments
In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. Our method starts with the output from a permutation-based anal...
Robert Tibshirani
ICTAI
2007
IEEE
15 years 8 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