Kridsadakorn Chaichoompu

BBKNN, Scanorama, and scVI lead complex scRNA-seq integration in a 38-setup, nine-task, 14-metric benchmark; highly variable gene selection helps, whereas scaling favors batch removal over bio-conservation.

epiScanpy enables analysis of single-cell DNA methylation and ATAC-seq data using scanpy workflows, showing epigenetic markers enrich cell type labels.

IPCAPS is an R package that uses iterative pruning PCA to resolve fine-scale population structure from SNP data, improving subpopulation detection and reducing misclassification.

The paper introduces IPCAPS, an unsupervised clustering method using iterative pruning to detect fine-scale population structure from SNP data, showing improved accuracy over existing tools in simulations.