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;
2006-01-01
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.File in questo prodotto:
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