SiFT: uncovering hidden biological processes by probabilistic filtering of single-cell data
Description
Cellular populations simultaneously encode multiple biological attributes, including spatial configuration, temporal trajectories, and cell-cell interactions. Some of these signals may be overshadowed by others and harder to recover, despite the
