Recovery of Biological Signals Lost in Single-cell Batch Integration

Music City Center 

Data integration is essential for aligning cells across batches in single-cell analyses, yet current methods often blur the line between technical and biological variation—sometimes erasing meaningful biological signals. In this talk, I will introduce a statistical framework and computational method that leverages experimental design to disentangle batch effects from true biological differences. Using a "pool-of-controls" approach, the method enables the recovery of biological signals that would otherwise be lost during integration.