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GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Cosmin Lazar,Jonatan Taminau,Stijn Meganck,David Steenhoff,Alain Coletta,David Y. Weiss Solis,Colin Molter,Robin Duque,Hugues Bersini,Ann Nowe
Issue Date:March 2013
pp. 383-392
The potential of microarray gene expression (MAGE) data is only partially explored due to the limited number of samples in individual studies. This limitation can be surmounted by merging or integrating data sets originating from independent MAGE experimen...
 
GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Alain Coletta, Ann Nowe, Colin Molter, Cosmin Lazar, David Steenhoff, David Y. Weiss Solis, Hugues Bersini, Jonatan Taminau, Robin Duque, Stijn Meganck
Issue Date:March 2013
pp. 383-392
The potential of microarray gene expression (MAGE) data is only partially explored due to the limited number of samples in individual studies. This limitation can be surmounted by merging or integrating data sets originating from independent MAGE experimen...
     
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