Sempervirens: A Fast Reconstruction Algorithm for Noisy and Incomplete Binary Matrix Representations of Trees
References
- (2018) SPhyR: Tumor phylogeny estimation from single-cell sequencing data under loss and error. Bioinformatics 34(17):i671–i679.Crossref, Google Scholar
- (1991) Efficient algorithms for inferring evolutionary trees. Networks 21(1):19–28.Crossref, Google Scholar
- (2016) Tree inference for single-cell data. Genome Biol. 17(1):86.Crossref, Google Scholar
- (2025) Sempervirens: A fast reconstruction algorithm for noisy and incomplete binary matrix representations of trees. http://dx.doi.org/10.1287/ijoc.2023.0373.cd, https://github.com/INFORMSJoC/2023.0373.Google Scholar
- (2022) Fast intratumor heterogeneity inference from single-cell sequencing data. Nature Comput. Sci. 2(9):577–583.Crossref, Google Scholar
- (2019) Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data. Nature Comm. 10(1):2750.Crossref, Google Scholar
- (1983) Theoretical and computational considerations of the compatibility of qualitative taxonomic characters. Felsenstein J, ed. Numer. Taxonomy, NATO ASI Series, vol. 1 (Springer, Berlin), 304–314.Crossref, Google Scholar
- (2014) Cancer genomics: One cell at a time. Genome Biol. 15(8):452.Crossref, Google Scholar
- (2020) PhISCS-BnB: A fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem. Bioinformatics 36(Suppl 1):i169–i176.Crossref, Google Scholar
- (2020) Accurate and efficient cell lineage tree inference from noisy single cell data: The maximum likelihood perfect phylogeny approach. Bioinformatics 36(3):742–750.Crossref, Google Scholar

