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» Classification with reject option in gene expression data
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EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 2 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
JIB
2010
107views more  JIB 2010»
14 years 4 months ago
Integration of -omics data and networks for biomedical research with VANTED
Increasingly, research focus in the fields of biology and medicine moves from the investigation of single phenomena to the analysis of complex cause and effect relationships. The ...
Christian Klukas, Falk Schreiber
94
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HIS
2008
14 years 11 months ago
CBR System for Diagnosis of Patients
Microarray technology allows to measure the expression levels of thousands of genes in an experiment. The use of computational methods is fundamental in cancer research. One of th...
Juan Francisco de Paz, Sara Rodríguez, Javi...
ISRR
2001
Springer
151views Robotics» more  ISRR 2001»
15 years 1 months ago
Advanced Sonar Sensing
Robotics research is dependent on intelligent, fast, accurate, reliable and cheap sensors. Sonar sensing can fulfil these requirements. Moreover sonar physics provides robotics re...
Lindsay Kleeman
BMCBI
2005
137views more  BMCBI 2005»
14 years 9 months ago
A standard curve based method for relative real time PCR data processing
Background: Currently real time PCR is the most precise method by which to measure gene expression. The method generates a large amount of raw numerical data and processing may no...
Alexey Larionov, Andreas Krause, William Miller