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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...
 
Non Negative Matrix Factorization Clustering Capabilities; Application on Multivariate Image Segmentation
Found in: Complex, Intelligent and Software Intensive Systems, International Conference
By Cosmin Lazar, Andrei Doncescu
Issue Date:March 2009
pp. 924-929
The clustering capabilities of the Non Negative Matrix Factorization algorithm is studied. The basis images are considered like the membership degree of the data to a particular class. A hard clustering algorithm is easily derived based on these images. Th...
 
Non Negative Matrix Factorization for Time Series of Medical Images Analysis
Found in: Complex, Intelligent and Software Intensive Systems, International Conference
By Cosmin Lazar, Daniel Nuzillard, Andrei Doncescu
Issue Date:March 2009
pp. 918-923
The application of Non Negative Matrix Factorization to time series of medical images analyze is investigated in this paper. Time series images of the urinary system are acquired by intravenous pyelography (IVP). Factorial Analysis and Principal Component ...
 
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...
     
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Alain Coletta, Ann Nowe, Colin Molter, Cosmin Lazar, David Steenhoff, Hugues Bersini, Jonatan Taminau, Robin Duque, Stijn Meganck, Virginie de Schaetzen
Issue Date:July 2012
pp. 1106-1119
A plenitude of feature selection (FS) methods is available in the literature, most of them rising as a need to analyze data of very high dimension, usually hundreds or thousands of variables. Such data sets are now available in various application areas li...
     
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