NewsscXMatch published in Bioinformatics
Happy to announce that our paper “Quantifying distribution shifts in single-cell data with scXMatch” is now out in Bioinformatics! Do cells from two conditions differ globally? In single-cell analysis, this is often judged from UMAPs, clusterings, or DEG counts, approaches that lack statistical rigor and invite confirmation bias. scXMatch answers it with a scalable, k-NN […]Happy to announce that our paper “Quantifying distribution shifts in single-cell data with scXMatch” is now out in Bioinformatics! Do cells from two conditions differ globally? In single-cell analysis, this is often judged from UMAPs, clusterings, or DEG counts, approaches that lack statistical rigor and invite confirmation bias. scXMatch answers it with a scalable, k-NN […]
