In this work a comprehensive multi-step machine learning data mining and data visualization framework is studied. The different steps of the approach are: preprocessing, clustering, visualization. Analysis and identification of genes periodically expressed in a human cancer cell line (HeLa) using cDNA microarrays is carried out as test case.

Clustering and Visualization Approaches for Human Cell Cycle Gene Expression Data Analysis

CIARAMELLA, Angelo;STAIANO, Antonino;
2006

Abstract

In this work a comprehensive multi-step machine learning data mining and data visualization framework is studied. The different steps of the approach are: preprocessing, clustering, visualization. Analysis and identification of genes periodically expressed in a human cancer cell line (HeLa) using cDNA microarrays is carried out as test case.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11367/18619
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