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Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data.

, , , и . NNSP, стр. 77-86. IEEE, (2002)

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Álvaro Fialho

Álvaro Barbosa

Elena Fernández Álvaro

Álvaro Morcillo Laiz

Álvaro Tejero-Cantero

 

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Using gene ontology on genome-scale studies to find significant associations of biologically relevant terms to groups of genes., , , , , и . NNSP, стр. 43-52. IEEE, (2003)New challenges in gene expression data analysis and the extended GEPAS., , , , , , , и . Nucleic Acids Res., 32 (Web-Server-Issue): 485-491 (2004)An Approach to the Modular Structure of Cancer., и . Spanish Bioinformatics Conference, стр. 161-165. Technical University of Catalonia, Barcelona, (2004)Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data., , , и . NNSP, стр. 77-86. IEEE, (2002)Improved Class Prediction in DNA Microarray Gene Expression Data by Unsupervised Reduction of the Dimensionality followed by Supervised Learning with a Perceptron., , , и . J. VLSI Signal Process., 35 (3): 245-253 (2003)Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes., , и . ICANN, том 2415 из Lecture Notes in Computer Science, стр. 577-582. Springer, (2002)Limiting Hamilton-Jacobi equation for the large scale asymptotics of a subdiffusion jump-renewal equation., , и . Asymptot. Anal., 115 (1-2): 63-94 (2019)