6 citations · 6 across the 1 of their papers we have counts for
2 papers
q-bio.QM2019
Exact inference under the perfect phylogeny model
Surjyendu Ray, Bei Jia, Sam Safavi +4
Motivation: Many inference tools use the Perfect Phylogeny Model (PPM) to learn trees from noisy variant allele frequency (VAF) data. Learning in this setting is hard, and existing…
cs.DS2018★ 6 cited
Efficient Projection onto the Perfect Phylogeny Model
Bei Jia, Surjyendu Ray, Sam Safavi +1
Several algorithms build on the perfect phylogeny model to infer evolutionary trees. This problem is particularly hard when evolutionary trees are inferred from the fraction of gen…