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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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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Khater, Ismail M, Meng, Fanrui, Nabi, Ivan Robert, Hamarneh, Ghassan
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Acesso em linha: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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