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• W3190444673 abstract "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/" @default.
• W3190444673 created "2021-08-16" @default.
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• W3190444673 date "2021-01-01" @default.
• W3190444673 modified "2023-09-23" @default.
• W3190444673 title "PathExNET: A tool for extracting pathway expression networks from gene expression statistics" @default.
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• W3190444673 doi "https://doi.org/10.1016/j.csbj.2021.07.033" @default.
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