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Article

Environmental properties of cells improve machine learning-based phenotype recognition accuracy.

Scientific reports - 4 Jul 2018

Toth Timea, Balassa Tamas, Bara Norbert, Kovacs Ferenc, Kriston Andras, Molnar Csaba, Haracska Lajos, Sukosd Farkas, Horvath Peter

Abstract excerpt

To answer major questions of cell biology, it is often essential to understand the complex phenotypic composition of cellular systems precisely. Modern automated microscopes produce vast amounts of images routinely, making manual analysis nearly impossible. Due to their efficiency, machine learning-based analysis software have become essential tools to perform single-cell-level phenotypic analysis of large...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29973621
DOI: 10.1038/s41598-018-28482-y
PMCID: PMC6031649

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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