PathExNET: A tool for extracting pathway expression networks from gene expression statistics.
Comput Struct Biotechnol J
; 19: 4336-4344, 2021.
Article
in English
| MEDLINE | ID: covidwho-2272234
ABSTRACT
A fundamental issue related to the understanding of the molecular mechanisms, is the way in which common pathways act across different biological experiments related to complex diseases. Using network-based approaches, this work aims to provide a numeric characterization of pathways across different biological experiments, in the prospect to create unique footprints that may characterise a specific disease under study at a pathway network level. In this line we propose PathExNET, a web service that allows the creation of pathway-to-pathway expression networks that hold the over- and under expression information obtained from differential gene expression analyses. The unique numeric characterization of pathway expression status related to a specific biological experiment (or disease), as well as the creation of diverse combination of pathway networks generated by PathExNET, is expected to provide a concrete contribution towards the individualization of disease, and further lead to a more precise personalised medicine and management of treatment. PathExNET is available at https//bioinformatics.cing.ac.cy/PathExNET and at https//pathexnet.cing-big.hpcf.cyi.ac.cy/.
Full text:
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Collection:
International databases
Database:
MEDLINE
Language:
English
Journal:
Comput Struct Biotechnol J
Year:
2021
Document Type:
Article
Affiliation country:
J.csbj.2021.07.033
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