Table_4.xls (5.5 kB)

Number of differentially methylated genes by different statistical tests for Dataset 3, where #G_hyper and #G_hypo refer to hyper and hypo-methylated genes, respectively.

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posted on 2015-04-01, 03:31 authored by Ujjwal Maulik, Saurav Mallik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay

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gene ontology analyses data distribution property rule mining algorithms gene expression level gene expression rule mining framework rule mining method Methylation Data Profiles Statistical significance tests itemset rule mining methods

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Number of differentially methylated genes by different statistical tests for Dataset 3, where #G_hyper and #G_hypo refer to hyper and hypo-methylated genes, respectively.

History

Usage metrics

Categories

Keywords

Licence

Exports

Number of differentially methylated genes by different statistical tests for Dataset 3, where #Ghyper and #Ghypo refer to hyper and hypo-methylated genes, respectively.

History

Usage metrics

Categories

Keywords

Licence

Exports

Number of differentially methylated genes by different statistical tests for Dataset 3, where #G_hyper and #G_hypo refer to hyper and hypo-methylated genes, respectively.