Cargando…
Regression plane concept for analysing continuous cellular processes with machine learning
Biological processes are inherently continuous, and the chance of phenotypic discovery is significantly restricted by discretising them. Using multi-parametric active regression we introduce the Regression Plane (RP), a user-friendly discovery tool enabling class-free phenotypic supervised machine l...
Autores principales: | Szkalisity, Abel, Piccinini, Filippo, Beleon, Attila, Balassa, Tamas, Varga, Istvan Gergely, Migh, Ede, Molnar, Csaba, Paavolainen, Lassi, Timonen, Sanna, Banerjee, Indranil, Ikonen, Elina, Yamauchi, Yohei, Ando, Istvan, Peltonen, Jaakko, Pietiäinen, Vilja, Honti, Viktor, Horvath, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100172/ https://www.ncbi.nlm.nih.gov/pubmed/33953203 http://dx.doi.org/10.1038/s41467-021-22866-x |
Ejemplares similares
-
Association of tamoxifen resistance and lipid reprogramming in breast cancer
por: Hultsch, Susanne, et al.
Publicado: (2018) -
nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer
por: Hollandi, Reka, et al.
Publicado: (2020) -
Intelligent image-based in situ single-cell isolation
por: Brasko, Csilla, et al.
Publicado: (2018) -
Correlative Fluorescence and Raman Microscopy to Define Mitotic Stages at the Single-Cell Level: Opportunities and Limitations in the AI Era
por: Voros, Csaba, et al.
Publicado: (2023) -
In Vivo Immunostaining of Hemocyte Compartments in Drosophila for Live Imaging
por: Csordás, Gábor, et al.
Publicado: (2014)