5 citations · 5 across the 1 of their papers we have counts for
2 papers
stat.AP2013★ 5 cited
Visualizing genetic constraints
Travis L. Gaydos, Nancy E. Heckman, Mark Kirkpatrick +4
Principal Components Analysis (PCA) is a common way to study the sources of variation in a high-dimensional data set. Typically, the leading principal components are used to unders…
q-bio.PE2013
On the accumulation of deleterious mutations during range expansions
Stephan Peischl, Isabelle Dupanloup, Mark Kirkpatrick +1
We investigate the effect of spatial range expansions on the evolution of fitness when beneficial and deleterious mutations co-segregate. We perform individual-based simulations of…