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» Combining Affymetrix microarray results
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112
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CSB
2005
IEEE
165views Bioinformatics» more  CSB 2005»
15 years 2 months ago
Sequential Diagonal Linear Discriminant Analysis (SeqDLDA) for Microarray Classification and Gene Identification
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...
105
Voted
CIBCB
2006
IEEE
15 years 6 months ago
A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...
Yi Shi, Zhipeng Cai, Lizhe Xu, Wei Ren, Randy Goeb...
GCB
2006
Springer
158views Biometrics» more  GCB 2006»
15 years 4 months ago
Microarray Layout as Quadratic Assignment Problem
Abstract: The production of commercial DNA microarrays is based on a light-directed chemical synthesis driven by a set of masks or micromirror arrays. Because of the natural proper...
Sérgio A. de Carvalho, Sven Rahmann
BMCBI
2007
107views more  BMCBI 2007»
15 years 12 days ago
Linking microarray reporters with protein functions
Background: The analysis of microarray experiments requires accurate and up-to-date functional annotation of the microarray reporters to optimize the interpretation of the biologi...
Stan Gaj, Arie van Erk, Rachel I. M. van Haaften, ...
EVOW
2006
Springer
15 years 4 months ago
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
Edmundo Bonilla Huerta, Béatrice Duval, Jin...