CellRomeR: an R package for clustering cell migration phenotypes from microscopy data

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf069
Citations
2
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.32

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article

CellRomeR: an R package for clustering cell migration phenotypes from microscopy data

Julia Mathlin, Paulina Frolovaitė, Sami Pietilä, Laura L. Elo et al.
2 citations
Bioinformatics Advances
Cell Image Analysis Techniques
1.32
article

CellRomeR: an R package for clustering cell migration phenotypes from microscopy data

Julia Mathlin, Paulina Frolovaitė, Sami Pietilä, Laura L. Elo, Iivari Kleino, Sini Junttila, António G. G. Sousa, Tomi Suomi, M.E. Madeleine van der Perk, Markus Lindén, Daniel Giesel
article en
2 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Åbo Akademi University (FI), University of Turku (FI), Turku Centre for Computer Science (FI)
European Commission, Academy of Finland, Turun Yliopisto, Syöpäsäätiö, Biocenter Finland, Turun yliopiston tutkijakoulu
Openalex Percentile: Top 14%
Cell Image Analysis Techniques
1.32
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