activity
20062022
most citedStatistical learning with phylogenetic network invariants

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.PE20222 cited

Statistical learning with phylogenetic network invariants

Travis Barton, Elizabeth Gross, Colby Long +1

Phylogenetic networks provide a means of describing the evolutionary history of sets of species believed to have undergone hybridization or gene flow during their evolution. The mu…

q-bio.PE2019

Phylogenetic Networks

Elizabeth Gross, Colby Long, Joseph Rusinko

Phylogenetics is the study of the evolutionary relationships between organisms. One of the main challenges in the field is to take biological data for a group of organisms and to i…

q-bio.QM2017

Phylogenetic Derivative: A Tool for Assessing Local Tree Reconstruction in the Presence of Recombination

Jacqueline Kane, Joseph Rusinko, Katherine Thompson

Recently, much attention has been given to understanding recombination events along a chromosome in a variety of field. For instance, many population genetics problems are limited…

q-bio.PE2016

Modeling the distribution of distance data in Euclidean space

Ruth Davidson, Joseph Rusinko, Zoe Vernon +1

Phylogenetic inference-the derivation of a hypothesis for the common evolutionary history of a group of species- is an active area of research at the intersection of biology, compu…

math.AG2006

Equivalence of Mirror Families Constructed from Toric Degenerations of Flag Varieties

Joe Rusinko

Batyrev (et. al.) constructed a family of Calabi-Yau varieties using small toric degenerations of the full flag variety G/B. They conjecture this family to be mirror to generic ant…