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COGENT: evaluating the consistency of gene co-expression networks

SUMMARY: Gene co-expression networks can be constructed in multiple different ways, both in the use of different measures of co-expression, and in the thresholds applied to the calculated co-expression values, from any given dataset. It is often not clear which co-expression network construction met...

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Autores principales: Bozhilova, Lyuba V., Pardo-Diaz, Javier, Reinert, Gesine, Deane, Charlotte M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317122/
https://www.ncbi.nlm.nih.gov/pubmed/32931579
http://dx.doi.org/10.1093/bioinformatics/btaa787
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author Bozhilova, Lyuba V.
Pardo-Diaz, Javier
Reinert, Gesine
Deane, Charlotte M.
author_facet Bozhilova, Lyuba V.
Pardo-Diaz, Javier
Reinert, Gesine
Deane, Charlotte M.
author_sort Bozhilova, Lyuba V.
collection PubMed
description SUMMARY: Gene co-expression networks can be constructed in multiple different ways, both in the use of different measures of co-expression, and in the thresholds applied to the calculated co-expression values, from any given dataset. It is often not clear which co-expression network construction method should be preferred. COGENT provides a set of tools designed to aid the choice of network construction method without the need for any external validation data. AVAILABILITY AND IMPLEMENTATION: https://github.com/lbozhilova/COGENT. SUPPLEMENTARY INFORMATION: Supplementary information is available at Bioinformatics online.
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spelling pubmed-83171222021-07-29 COGENT: evaluating the consistency of gene co-expression networks Bozhilova, Lyuba V. Pardo-Diaz, Javier Reinert, Gesine Deane, Charlotte M. Bioinformatics Applications Notes SUMMARY: Gene co-expression networks can be constructed in multiple different ways, both in the use of different measures of co-expression, and in the thresholds applied to the calculated co-expression values, from any given dataset. It is often not clear which co-expression network construction method should be preferred. COGENT provides a set of tools designed to aid the choice of network construction method without the need for any external validation data. AVAILABILITY AND IMPLEMENTATION: https://github.com/lbozhilova/COGENT. SUPPLEMENTARY INFORMATION: Supplementary information is available at Bioinformatics online. Oxford University Press 2020-09-15 /pmc/articles/PMC8317122/ /pubmed/32931579 http://dx.doi.org/10.1093/bioinformatics/btaa787 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Bozhilova, Lyuba V.
Pardo-Diaz, Javier
Reinert, Gesine
Deane, Charlotte M.
COGENT: evaluating the consistency of gene co-expression networks
title COGENT: evaluating the consistency of gene co-expression networks
title_full COGENT: evaluating the consistency of gene co-expression networks
title_fullStr COGENT: evaluating the consistency of gene co-expression networks
title_full_unstemmed COGENT: evaluating the consistency of gene co-expression networks
title_short COGENT: evaluating the consistency of gene co-expression networks
title_sort cogent: evaluating the consistency of gene co-expression networks
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317122/
https://www.ncbi.nlm.nih.gov/pubmed/32931579
http://dx.doi.org/10.1093/bioinformatics/btaa787
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