|Title:||Probabilistic prioritization of candidate pathway association with pathway score||Authors:||Lin, Shu-Ju
CHUHSING KATE HSIAO
|Keywords:||Association study; Bayesian logistic regression; Competing pathways; Differentially expressed genes; Gene-set analysis; Pahtway score; Pathway ranking||Issue Date:||24-Oct-2018||Publisher:||BMC||Journal Volume:||19||Journal Issue:||1||Source:||BMC bioinformatics||Abstract:||
Current methods for gene-set or pathway analysis are usually designed to test the enrichment of a single gene-set. Once the analysis is carried out for each of the sets under study, a list of significant sets can be obtained. However, if one wishes to further prioritize the importance or strength of association of these sets, no such quantitative measure is available. Using the magnitude of p-value to rank the pathways may not be appropriate because p-value is not a measure for strength of significance. In addition, when testing each pathway, these analyses are often implicitly affected by the number of differentially expressed genes included in the set and/or affected by the dependence among genes.
|Appears in Collections:||流行病學與預防醫學研究所|
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