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Mitigating Batch Effects in scRNAseq Experiments with Variable Sample Availability

The problem revolves around planning scRNAseq experiments for a large cohort of patients and healthy volunteers with variable inclusion rates over time. The goal is to minimize batch effects while balancing demographic factors like age and sex. The fixation of samples limits the window for processing, adding urgency to the planning.

Science, Biology, Immunology