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Hans W Mewes

Showing results (11-20 of 15) with videos related to

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Bioinformatics (Oxford, England)|November 2, 2013
EXPANDS: expanding ploidy and allele frequency on nested subpopulationsNoemi Andor, Julie V Harness, Sabine Müller, et al.
Bioinformatics (Oxford, England)|March 23, 2004
Optimization models for cancer classification: extracting gene interaction information from microarray expression dataAlexey V Antonov, Igor V Tetko, Michael T Mader, et al.
Bioinformatics (Oxford, England)|June 26, 2004
A web portal for classification of expression data using maximal margin linear programmingAlexey V Antonov, Igor V Tetko, Volodymyr V Prokopenko, et al.
Bioinformatics (Oxford, England)|December 9, 2004
Support vector machines for separation of mixed plant-pathogen EST collections based on codon usageCaroline C Friedel, Katharina H V Jahn, Selina Sommer, et al.
Computational Biology and Chemistry|February 1, 2005
Gene selection from microarray data for cancer classification--a machine learning approachYu Wang, Igor V Tetko, Mark A Hall, et al.
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Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Bioinformatics (Oxford, England)|November 2, 2013
EXPANDS: expanding ploidy and allele frequency on nested subpopulationsNoemi Andor, Julie V Harness, Sabine Müller, et al.
Bioinformatics (Oxford, England)|March 23, 2004
Optimization models for cancer classification: extracting gene interaction information from microarray expression dataAlexey V Antonov, Igor V Tetko, Michael T Mader, et al.
Bioinformatics (Oxford, England)|June 26, 2004
A web portal for classification of expression data using maximal margin linear programmingAlexey V Antonov, Igor V Tetko, Volodymyr V Prokopenko, et al.
Bioinformatics (Oxford, England)|December 9, 2004
Support vector machines for separation of mixed plant-pathogen EST collections based on codon usageCaroline C Friedel, Katharina H V Jahn, Selina Sommer, et al.
Computational Biology and Chemistry|February 1, 2005
Gene selection from microarray data for cancer classification--a machine learning approachYu Wang, Igor V Tetko, Mark A Hall, et al.
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