Deep Visual Proteomics defines single-cell identity and heterogeneity
2022 · Nature Biotechnology · 476 citations
https://doi.org/10.1038/s41587-022-01302-5
E
Ede Migh
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Ede Migh is an academic researcher from HUN-REN Szegedi Biológiai Kutatóközpont. The author has contributed to research in topics: Pancreatic and Hepatic Oncology Research & Cancer, Lipids, and Metabolism & Cancer, Hypoxia, and Metabolism. The author has an h-index of 13, co-authored 40 publications.
ORCID: 0000-0002-8312-6463Papers by this author
worksnucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer
2020 · Cell Systems · 269 citations
https://doi.org/10.1016/j.cels.2020.04.003
Image-based and machine learning-guided multiplexed serology test for SARS-CoV-2
2023 · Cell Reports Methods · 7 citations
https://doi.org/10.1016/j.crmeth.2023.100565
A versatile transposon-based technology to generate loss- and gain-of-function phenotypes in the mouse liver
2022 · BMC Biology · 3 citations
https://doi.org/10.1186/s12915-022-01262-x
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