miCAT: A toolbox for analysis of cell phenotypes and interactions in multiplex image cytometry data

Single-cell, spatially resolved ‘omics analysis of tissues is poised to transform biomedical research and clinical practice. We have developed an open-source, computational multiplex image cytometry analysis toolbox (miCAT) to enable interactive, quantitative, and comprehensive exploration of indivi...

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Detalles Bibliográficos
Autores principales: Schapiro, Denis, Jackson, Hartland W, Raghuraman, Swetha, Fischer, Jana R, Zanotelli, Vito R. T., Schulz, Daniel, Giesen, Charlotte, Catena, Raúl, Varga, Zsuzsanna, Bodenmiller, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617107/
https://www.ncbi.nlm.nih.gov/pubmed/28783155
http://dx.doi.org/10.1038/nmeth.4391

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617107/
https://www.ncbi.nlm.nih.gov/pubmed/28783155
http://dx.doi.org/10.1038/nmeth.4391

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