Causal analysis approaches in Ingenuity Pathway Analysis | Zendy

A. Krämer | Zendy; Jeff Green | Zendy; Jack Pollard | Zendy; Stuart Tugendreich | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Causal analysis approaches in Ingenuity Pathway Analysis

Author(s) -

A. Krämer,

Jeff Green,

Jack Pollard,

Stuart Tugendreich

Publication year - 2013

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/btt703

Subject(s) - ingenuity , downstream (manufacturing) , upstream (networking) , computer science , network analysis , gene regulatory network , data mining , pathway analysis , contrast (vision) , suite , regulator , analytics , data science , computational biology , artificial intelligence , biology , gene , gene expression , engineering , genetics , computer network , operations management , neoclassical economics , electrical engineering , archaeology , economics , history

Prior biological knowledge greatly facilitates the meaningful interpretation of gene-expression data. Causal networks constructed from individual relationships curated from the literature are particularly suited for this task, since they create mechanistic hypotheses that explain the expression changes observed in datasets.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research