Computational functional genomics-based reduction of disease-related gene sets to their key components | Zendy

Catharina Lippmann | Zendy; Alfred Ultsch | Zendy; Jörn Lötsch | Zendy

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Computational functional genomics-based reduction of disease-related gene sets to their key components

Author(s) -

Catharina Lippmann,

Alfred Ultsch,

Jörn Lötsch

Publication year - 2018

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/bty986

Subject(s) - gene , set (abstract data type) , functional genomics , computational biology , genomics , biological data , computer science , biological network , directed acyclic graph , gene regulatory network , reduction (mathematics) , biology , genetics , genome , gene expression , algorithm , mathematics , programming language , geometry

The genetic architecture of diseases becomes increasingly known. This raises difficulties in picking suitable targets for further research among an increasing number of candidates. Although expression based methods of gene set reduction are applied to laboratory-derived genetic data, the analysis of topical sets of genes gathered from knowledge bases requires a modified approach as no quantitative information about gene expression is available.

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