HIGHLIGHTS
- who: Image Processing and collaborators from the Department of Radiology, Leiden University Medical Center, The Netherlands have published the article: Visual Cohort Comparison for Spatial Single-Cell Omics-Data, in the Journal: (JOURNAL)
- what: The aims are to identify the characteristics that differentiate a cohort, explore the cohorts' heterogeneity and relate these characteristics directly to the tissue. The authors propose an interactive, data-driven cohort comparison workflow. In the previous work on ImaCytE , the authors propose an interactive exploratory pipeline for cell type identification and neighborhood analysis in spatial single-cell data. In general, the . . .
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