decorate: differential epigenetic correlation test | Zendy

Gabriel E. Hoffman | Zendy; Jaroslav Bendl | Zendy; Kiran Girdhar | Zendy; Panos Roussos | Zendy

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decorate: differential epigenetic correlation test

Author(s) -

Gabriel E. Hoffman,

Jaroslav Bendl,

Kiran Girdhar,

Panos Roussos

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa067

Subject(s) - epigenetics , dna methylation , computational biology , correlation , software , differential (mechanical device) , computer science , histone , biology , data mining , bioinformatics , genetics , gene , gene expression , mathematics , geometry , engineering , programming language , aerospace engineering

Identifying correlated epigenetic features and finding differences in correlation between individuals with disease compared to controls can give novel insight into disease biology. This framework has been successful in analysis of gene expression data, but application to epigenetic data has been limited by the computational cost, lack of scalable software and lack of robust statistical tests.

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