Standard EWAS Gene Set enrichment analysis results.

<p>Results of wighted GSEA for Standard EWAS approach, where weights were determined by the test statistics in the univariate CoxPH performed independently for each CpG Island. The first column reports the KEGG pathway, followed by pathway code and empirical p-value (last column).</p> &l...

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Bibliographic Details
Main Author:	Michela Carlotta Massi (9122257) (author)
Other Authors:	Lorenzo Dominoni (13864268) (author), Francesca Ieva (144652) (author), Giovanni Fiorito (136942) (author)
Published:	2022
Subjects:	Genetics Biotechnology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified tailored sampling procedure survival analysis scenario small sample size shapley additive explanations set enrichment analyses perform weighted gene method performs better epic italy cohort e ., assigning diagnostic dna methylation common complexities arising breast cancer nested new deep learning deep survival ewas standard ewas approaches individual cpg islands derived effects profile traditional ewas approach proposed approach deals based approach assessing provide inconsistent results breast cancer time linear survival modeling dnam sites agglomeration diagnosis </ p standard approach deep non derived dnam cpg sites global approach values estimation relationships interplaying prospective case potentially non obtained results low signal likely due explicit modeling epidemiological studies either ignore control study biological meaningfulness algorithm combines aid robustness
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Standard EWAS Gene Set enrichment analysis results.

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