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» Gene Extraction for Cancer Diagnosis by Support Vector Machi...
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ML
2002
ACM
180views Machine Learning» more  ML 2002»
13 years 5 months ago
Gene Selection for Cancer Classification using Support Vector Machines
Isabelle Guyon, Jason Weston, Stephen Barnhill, Vl...
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 5 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
13 years 10 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
CVPR
2001
IEEE
14 years 7 months ago
A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
Salih Burak Göktürk, Carlo Tomasi
BMCBI
2006
201views more  BMCBI 2006»
13 years 5 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao