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» A Theoretical Analysis of Gene Selection
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ICML
2007
IEEE
14 years 10 months ago
Hybrid huberized support vector machines for microarray classification
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
Li Wang, Ji Zhu, Hui Zou
CINQ
2004
Springer
116views Database» more  CINQ 2004»
14 years 1 months ago
Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining
Abstract. One of the exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, it is e...
Ruggero G. Pensa, Jérémy Besson, C&e...
ECAL
2005
Springer
14 years 2 months ago
On the Mean Convergence Time of Multi-parent Genetic Algorithms Without Selection
This paper investigates genetic drift in multi-parent genetic algorithms (MPGAs). An exact model based on Markov chains is proposed to formulate the variation of gene frequency. Th...
Chuan-Kang Ting
ACMSE
2006
ACM
14 years 3 months ago
Automatic quality assessment of Affymetrix GeneChip data
Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...
Steffen Heber, Beate Sick
BMCBI
2005
140views more  BMCBI 2005»
13 years 9 months ago
Dissecting systems-wide data using mixture models: application to identify affected cellular processes
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
J. Peter Svensson, Renée X. de Menezes, Ing...