Inferring a Gene Regulatory Network Involved in Drosophila Melanogaster’s Muscle Development

The potential of Granger causality in identifying gene regulatory networks is investigated, with a specific focus on Drosophila melanogaster muscle development. Our study analyzes gene expression time series recorded across the insect’s lifecycle, spanning embryonic, larval, pupal, and adult stages. The gene-gene regulatory interaction networks published so far show poor agreement, and our findings underscore the importance of longer gene expression time series for reliably identifying gene regulatory networks.

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Publication Details

Published
2025-06-02
DOI
https://doi.org/10.23919/measurement66999.2025.11078745
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Inferring a Gene Regulatory Network Involved in Drosophila Melanogaster’s Muscle Development

Hana Krakovská, Anna Krakovská, Ivona Hrivová
Bioinformatics and Genomic Networks
article

Inferring a Gene Regulatory Network Involved in Drosophila Melanogaster’s Muscle Development

Hana Krakovská, Anna Krakovská, Ivona Hrivová
article en

Abstract

The potential of Granger causality in identifying gene regulatory networks is investigated, with a specific focus on Drosophila melanogaster muscle development. Our study analyzes gene expression time series recorded across the insect’s lifecycle, spanning embryonic, larval, pupal, and adult stages. The gene-gene regulatory interaction networks published so far show poor agreement, and our findings underscore the importance of longer gene expression time series for reliably identifying gene regulatory networks.

Slovak Academy of Sciences (SK), Institute of Measurement Science of the Slovak Academy of Sciences (SK)
European Cooperation in Science and Technology
Zero hunger
Openalex Percentile: Top 82%
Bioinformatics and Genomic Networks
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