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Identification of caveolin-1 domain signatures via machine learning and graphlet analysis of single-molecule super-resolution data
MOTIVATION: Network analysis and unsupervised machine learning processing of single-molecule localization microscopy of caveolin-1 (Cav1) antibody labeling of prostate cancer cells identified biosignatures and structures for caveolae and three distinct non-caveolar scaffolds (S1A, S1B and S2). To ob...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6748737/ https://ncbi.nlm.nih.gov/pubmed/30759191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz113 |
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