Nature Communications (May 2021)
Regression plane concept for analysing continuous cellular processes with machine learning
- Abel Szkalisity,
- Filippo Piccinini,
- Attila Beleon,
- Tamas Balassa,
- Istvan Gergely Varga,
- Ede Migh,
- Csaba Molnar,
- Lassi Paavolainen,
- Sanna Timonen,
- Indranil Banerjee,
- Elina Ikonen,
- Yohei Yamauchi,
- Istvan Ando,
- Jaakko Peltonen,
- Vilja Pietiäinen,
- Viktor Honti,
- Peter Horvath
Affiliations
- Abel Szkalisity
- Synthetic and Systems Biology Unit, Biological Research Centre (BRC)
- Filippo Piccinini
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
- Attila Beleon
- Synthetic and Systems Biology Unit, Biological Research Centre (BRC)
- Tamas Balassa
- Synthetic and Systems Biology Unit, Biological Research Centre (BRC)
- Istvan Gergely Varga
- Institute of Genetics, Biological Research Center (BRC)
- Ede Migh
- Synthetic and Systems Biology Unit, Biological Research Centre (BRC)
- Csaba Molnar
- Synthetic and Systems Biology Unit, Biological Research Centre (BRC)
- Lassi Paavolainen
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute of Life Science-HiLIFE, University of Helsinki
- Sanna Timonen
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute of Life Science-HiLIFE, University of Helsinki
- Indranil Banerjee
- Indian Institute of Science Education and Research (IISER)
- Elina Ikonen
- Department of Anatomy and Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki
- Yohei Yamauchi
- School of Cellular and Molecular Medicine, University of Bristol, BS8 1TD University Walk
- Istvan Ando
- Institute of Genetics, Biological Research Center (BRC)
- Jaakko Peltonen
- Faculty of Information Technology and Communication Sciences, Tampere University, FI-33014 Tampere University
- Vilja Pietiäinen
- Institute for Molecular Medicine Finland-FIMM, Helsinki Institute of Life Science-HiLIFE, University of Helsinki
- Viktor Honti
- Institute of Genetics, Biological Research Center (BRC)
- Peter Horvath
- Synthetic and Systems Biology Unit, Biological Research Centre (BRC)
- DOI
- https://doi.org/10.1038/s41467-021-22866-x
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 9
Abstract
High-content screening prompted the development of software enabling discrete phenotypic analysis of single cells. Here, the authors show that supervised continuous machine learning can drive novel discoveries in diverse imaging experiments and present the Regression Plane module of Advanced Cell Classifier.
