To flexibly model single-cell datasets, we developed LIGER, an algorithm and software package that delineates shared and dataset-specific features of cell identity. We applied it to four diverse and c
NKX2-1 transcription factor binding site (TFBS) analysis. First, we used HOMER to identify predicted NKX2-1 binding sites (using the HOMER built in matrix “nkx2.1.motif”) across the GRCh38 genome, and
