Qingfei Pan

Spotiphy transforms spatial transcriptomics data into single-cell-resolved whole-transcriptome images, revealing novel cellular compositions and spatial domains in Alzheimer's and breast tissue.

The paper identifies differences in mtDNA mutation accumulation and selective pressures in pediatric leukemias using bulk and single-cell sequencing, linking these to functional heterogeneity among leukemic cells.

scMINER identifies hidden drivers and network rewiring in single-cell RNA-seq data using mutual information, outperforming existing methods in clustering and network inference.

The paper identifies TCF4 and ID3 as key transcription factors driving mammary epithelial stem cell differentiation through single-cell RNA sequencing analysis.