LACE is an algorithmic framework that 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. The approach solves a Boolean Matrix Factorization problem with phylogenetic constraints, by maximizing a weighed likelihood function computed on multiple time points.
|Author||Daniele Ramazzotti [aut] (<https://orcid.org/0000-0002-6087-2666>), Fabrizio Angaroni [aut], Davide Maspero [cre, aut], Alex Graudenzi [aut], Luca De Sano [ctb]|
|Bioconductor views||BiomedicalInformatics SingleCell SomaticMutation|
|Maintainer||Davide Maspero <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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