LACE

LACE processes single-cell somatic mutation profiles from cancer samples collected at different time points and in distinct experimental settings to produce longitudinal models of cancer evolution.

Key Features:

• Longitudinal cancer evolution modeling: LACE generates longitudinal models of cancer evolution from temporally distinct samples.
• Boolean Matrix Factorization: The approach solves a Boolean Matrix Factorization problem with phylogenetic constraints.
• Multi-timepoint likelihood maximization: LACE maximizes a weighed likelihood function computed on multiple time points.
• Single-cell somatic mutation analysis: LACE processes single-cell somatic mutation profiles from cancer samples.

Scientific Applications:

• Cancer evolution tracking: LACE enables reconstruction of cancer evolutionary trajectories across multiple time points and experimental settings.

Methodology:

LACE solves a Boolean Matrix Factorization problem with phylogenetic constraints by maximizing a weighed likelihood function computed on multiple time points.