A1 Refereed original research article in a scientific journal
Practical considerations for data exploration in quantitative cell biology
Authors: Pylvänäinen, Joanna W.; Grobe, Hanna; Jacquemet, Guillaume
Publisher: The Company of Biologists
Publishing place: CAMBRIDGE
Publication year: 2025
Journal: Journal of Cell Science
Journal name in source: Journal of Cell Science
Journal acronym: J CELL SCI
Article number: jcs263801
Volume: 138
Issue: 7
Number of pages: 10
ISSN: 0021-9533
eISSN: 1477-9137
DOI: https://doi.org/10.1242/jcs.263801
Web address : https://doi.org/10.1242/jcs.263801
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/491923115
Data exploration is an essential step in quantitative cell biology, bridging raw data and scientific insights. Unlike polished, published approach that reveals trends, identifies outliers and refines hypotheses. This Opinion offers simple, practical advice for building a structured data exploration workflow, drawing on the authors' personal experience in analyzing bioimage datasets. In addition, the increasing availability of generative artificial intelligence and large language models makes coding and improving data workflows easier than ever before. By embracing these practices, researchers can streamline their workflows, produce more reliable conclusions and foster a collaborative, transparent approach to data analysis in cell biology.
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Funding information in the publication:
This work was supported by the Research Council of Finland (338537) , the Sigrid Juselius Foundation, the Cancer Society of Finland, the Solutions for Health strategic funding to abo Akademi University (to G.J.) and the InFLAMES Flagship Programme of the Academy of Finland (decision numbers: 337530, 337531, 357910, 35791) . Open Access funding provided by the Sigrid Juselius Foundation. Deposited in PMC for immediate release.
