Unknown

Dataset Information

5

HistoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.


ABSTRACT: Single-cell, spatially resolved omics analysis of tissues is poised to transform biomedical research and clinical practice. We have developed an open-source, computational histology topography cytometry analysis toolbox (histoCAT) to enable interactive, quantitative, and comprehensive exploration of individual cell phenotypes, cell-cell interactions, microenvironments, and morphological structures within intact tissues. We highlight the unique abilities of histoCAT through analysis of highly multiplexed mass cytometry images of human breast cancer tissues.

SUBMITTER: Schapiro D 

PROVIDER: S-EPMC5617107 | BioStudies | 2017-01-01

REPOSITORIES: biostudies

Similar Datasets

2019-01-01 | S-EPMC6722888 | BioStudies
2012-01-01 | S-EPMC3514885 | BioStudies
2010-01-01 | S-EPMC3096553 | BioStudies
2012-01-01 | S-EPMC3331904 | BioStudies
2020-01-01 | S-EPMC7195402 | BioStudies
2019-01-01 | S-EPMC6830340 | BioStudies
1000-01-01 | S-EPMC5476666 | BioStudies
2017-01-01 | S-EPMC5459378 | BioStudies
1000-01-01 | S-EPMC5791659 | BioStudies
2015-01-01 | S-EPMC4437865 | BioStudies