A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Practical considerations for data exploration in quantitative cell biology
Tekijät: Pylvänäinen, Joanna W.; Grobe, Hanna; Jacquemet, Guillaume
Kustantaja: The Company of Biologists
Kustannuspaikka: CAMBRIDGE
Julkaisuvuosi: 2025
Journal: Journal of Cell Science
Tietokannassa oleva lehden nimi: Journal of Cell Science
Lehden akronyymi: J CELL SCI
Artikkelin numero: jcs263801
Vuosikerta: 138
Numero: 7
Sivujen määrä: 10
ISSN: 0021-9533
eISSN: 1477-9137
DOI: https://doi.org/10.1242/jcs.263801
Verkko-osoite: https://doi.org/10.1242/jcs.263801
Rinnakkaistallenteen osoite: 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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
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.
