48 citations · 137 across the 6 of their papers we have counts for
8 papers
Insights into human evolution from large genetic biobanks
Jeffrey P. Spence, Roshni A. Patel
The development of large genetic biobanks with deep phenotyping and whole-exome or whole-genome sequencing is enabling an ever-deeper understanding of human evolution. Here we revi…
grenedalf: population genetic statistics for the next generation of pool sequencing
Lucas Czech, Jeffrey P. Spence, Moisés Expósito-Alonso
Pool sequencing is an efficient method for capturing genome-wide allele frequencies from multiple individuals, with broad applications such as studying adaptation in Evolve-and-Res…
A simple and flexible test of sample exchangeability with applications to statistical genomics
Alan J. Aw, Jeffrey P. Spence, Yun S. Song
In scientific studies involving analyses of multivariate data, basic but important questions often arise for the researcher: Is the sample exchangeable, meaning that the joint dist…
Flexible mean field variational inference using mixtures of non-overlapping exponential families
Jeffrey P. Spence
Sparse models are desirable for many applications across diverse domains as they can perform automatic variable selection, aid interpretability, and provide regularization. When fi…
Inference of Population History using Coalescent HMMs: Review and Outlook
Jeffrey P. Spence, Matthias Steinrücken, Jonathan Terhorst +1
Studying how diverse human populations are related is of historical and anthropological interest, in addition to providing a realistic null model for testing for signatures of natu…
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence +3
An explosion of high-throughput DNA sequencing in the past decade has led to a surge of interest in population-scale inference with whole-genome data. Recent work in population gen…