Practical considerations for data exploration in quantitative cell biology

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dc.contributor.authorPylvänäinen, Joanna W.
dc.contributor.authorGrobe, Hanna
dc.contributor.authorJacquemet, Guillaume
dc.contributor.organizationfi=InFLAMES Lippulaiva|en=InFLAMES Flagship|
dc.contributor.organizationfi=Turun biotiedekeskus|en=Turku Bioscience Centre|
dc.contributor.organization-code1.2.246.10.2458963.20.18586209670
dc.converis.publication-id491923115
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/491923115
dc.date.accessioned2025-08-27T21:59:29Z
dc.date.available2025-08-27T21:59:29Z
dc.description.abstract<p>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.<br></p>
dc.identifier.eissn1477-9137
dc.identifier.jour-issn0021-9533
dc.identifier.olddbid201550
dc.identifier.oldhandle10024/184577
dc.identifier.urihttps://www.utupub.fi/handle/11111/48485
dc.identifier.urlhttps://doi.org/10.1242/jcs.263801
dc.identifier.urnURN:NBN:fi-fe2025082785426
dc.language.isoen
dc.okm.affiliatedauthorJacquemet, Guillaume
dc.okm.affiliatedauthorDataimport, 2607051 InFLAMES lippulaiva, tutkimus
dc.okm.discipline1182 Biochemistry, cell and molecular biologyen_GB
dc.okm.discipline1182 Biokemia, solu- ja molekyylibiologiafi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherThe Company of Biologists
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.publisher.placeCAMBRIDGE
dc.relation.articlenumberjcs263801
dc.relation.doi10.1242/jcs.263801
dc.relation.ispartofjournalJournal of Cell Science
dc.relation.issue7
dc.relation.volume138
dc.source.identifierhttps://www.utupub.fi/handle/10024/184577
dc.titlePractical considerations for data exploration in quantitative cell biology
dc.year.issued2025

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