PathExNET: A tool for extracting pathway expression networks from gene expression statistics Article Swipe
George Minadakis
,
Alfonso Muñoz-Pomer Fuentes
,
George Tsouloupas
,
Irene Papatheodorou
,
George M. Spyrou
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.csbj.2021.07.033
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.csbj.2021.07.033
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/.
Related Topics
Concepts
Expression (computer science)
Biological pathway
Computational biology
Pathway analysis
Gene expression
Biological network
Gene
Gene expression profiling
Computer science
Biology
Bioinformatics
Data mining
Genetics
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.csbj.2021.07.033
- OA Status
- gold
- Cited By
- 4
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3190444673
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3190444673Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.csbj.2021.07.033Digital Object Identifier
- Title
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PathExNET: A tool for extracting pathway expression networks from gene expression statisticsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-01Full publication date if available
- Authors
-
George Minadakis, Alfonso Muñoz-Pomer Fuentes, George Tsouloupas, Irene Papatheodorou, George M. SpyrouList of authors in order
- Landing page
-
https://doi.org/10.1016/j.csbj.2021.07.033Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.csbj.2021.07.033Direct OA link when available
- Concepts
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Expression (computer science), Biological pathway, Computational biology, Pathway analysis, Gene expression, Biological network, Gene, Gene expression profiling, Computer science, Biology, Bioinformatics, Data mining, Genetics, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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61Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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