PathExt: a general framework for path-based mining of omics-integrated biological networks | Zendy

Narmada Sambaturu | Zendy; Vaidehi Pusadkar | Zendy; Sridhar Hannenhalli | Zendy; Nagasuma Chandra | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

PathExt: a general framework for path-based mining of omics-integrated biological networks

Author(s) -

Narmada Sambaturu,

Vaidehi Pusadkar,

Sridhar Hannenhalli,

Nagasuma Chandra

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/btaa941

Subject(s) - biological network , context (archaeology) , computational biology , biology , gene regulatory network , gene , biological pathway , transcriptome , systems biology , computer science , genetics , gene expression , paleontology

Transcriptomes are routinely used to prioritize genes underlying specific phenotypes. Current approaches largely focus on differentially expressed genes (DEGs), despite the recognition that phenotypes emerge via a network of interactions between genes and proteins, many of which may not be differentially expressed. Furthermore, many practical applications lack sufficient samples or an appropriate control to robustly identify statistically significant DEGs.

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