Calciumnetexplorer: an R package for network analysis of calcium imaging data

Designed as a user-friendly package, CNER allows both experimental and computational neuroscientists to incorporate robust statistical and graphical analyses into their workflows without extensive coding knowledge. By unifying key analytical components into one pipeline, CNER reduces barriers associated with large-scale data analyses, ultimately facilitating deeper insights into the functional organization and dynamic properties of neuronal networks across diverse recording techniques.

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Publication Details

Journal
BMC Bioinformatics
Published
2025-08-26
DOI
https://doi.org/10.1186/s12859-025-06206-0
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Calciumnetexplorer: an R package for network analysis of calcium imaging data

Dirk Sieger, Simone Lenci
BMC Bioinformatics
Functional Brain Connectivity Studies
article

Calciumnetexplorer: an R package for network analysis of calcium imaging data

Dirk Sieger, Simone Lenci
article en

Abstract

Designed as a user-friendly package, CNER allows both experimental and computational neuroscientists to incorporate robust statistical and graphical analyses into their workflows without extensive coding knowledge. By unifying key analytical components into one pipeline, CNER reduces barriers associated with large-scale data analyses, ultimately facilitating deeper insights into the functional organization and dynamic properties of neuronal networks across diverse recording techniques.

BMC BioinformaticsVol. 26(1)
University of Edinburgh (GB)
Cancer Research UK, Medical Research Council
Openalex Percentile: Top 78%
Functional Brain Connectivity Studies
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