PyBootNet: a python package for bootstrapping and network construction

We show that PyBootNet generates robust bootstrapped network metrics and identifies significant differences in one or more network metrics between pairs of networks. Our analysis of the previously published PCOS gut microbiome data also showed that our network analysis uncovered patterns and treatment effects missed in the original study. PyBootNet provides a powerful and extendible Python bioinformatics solution for bootstrapping analysis and network construction that can be applied to microbes, genes, metabolites and other biological data appropriate for network correlation comparison and analysis.

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Publication Details

Journal
PeerJ
Published
2025-02-05
DOI
https://doi.org/10.7717/peerj.18915
Citations
2
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
4.24
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article

PyBootNet: a python package for bootstrapping and network construction

Scott T. Kelley, Shayan R. Akhavan
2 citations
PeerJ
Mental Health Research Topics
4.24
article

PyBootNet: a python package for bootstrapping and network construction

Scott T. Kelley, Shayan R. Akhavan
article en
2 citations

Abstract

We show that PyBootNet generates robust bootstrapped network metrics and identifies significant differences in one or more network metrics between pairs of networks. Our analysis of the previously published PCOS gut microbiome data also showed that our network analysis uncovered patterns and treatment effects missed in the original study. PyBootNet provides a powerful and extendible Python bioinformatics solution for bootstrapping analysis and network construction that can be applied to microbes, genes, metabolites and other biological data appropriate for network correlation comparison and analysis.

PeerJVol. 13
San Diego State University (US)
Life in Land
Openalex Percentile: Top 8%
Mental Health Research Topics
4.24
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PyBootNet: a python package for bootstrapping and network construction — Scott T. Kelley, Shayan R. Akhavan · PeerJ (2025) | TGRS Research Map | TGRS