Single-cell analysis: cellular heterogeneity and rare cell population discovery
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Cytomics analyzes individual cells to reveal cellular heterogeneity masked by bulk measurements. Flow cytometry can profile 50+ parameters per cell. Mass cytometry (CyTOF) measures 40+ proteins simultaneously. Single-cell studies discover rare cancer stem cells, immune subsets, and cellular states.
Machine learning algorithms for automated pattern recognition and biomarker discovery
Multi-omics integration for comprehensive biological understanding
Validated biomarkers and therapeutic targets for precision medicine applications