Sara Mathieson
Sara Mathieson
Verified email at haverford.edu - Homepage
Title
Cited by
Cited by
Year
Estimating variable effective population sizes from multiple genomes: a sequentially Markov conditional sampling distribution approach
S Sheehan, K Harris, YS Song
Genetics 194 (3), 647-662, 2013
1832013
Deep learning for population genetic inference
S Sheehan, YS Song
PLoS computational biology 12 (3), e1004845, 2016
1782016
FADS1 and the Timing of Human Adaptation to Agriculture
S Mathieson, I Mathieson
Molecular biology and evolution 35 (12), 2957-2970, 2018
532018
A likelihood-free inference framework for population genetic data using exchangeable neural networks
J Chan, V Perrone, JP Spence, PA Jenkins, S Mathieson, YS Song
Advances in neural information processing systems 31, 8594, 2018
432018
Telescoper: de novo assembly of highly repetitive regions
M Bresler, S Sheehan, AH Chan, YS Song
Bioinformatics 28 (18), i311-i317, 2012
332012
ImaGene: a convolutional neural network to quantify natural selection from genomic data
L Torada, L Lorenzon, A Beddis, U Isildak, L Pattini, S Mathieson, ...
BMC bioinformatics 20 (9), 1-12, 2019
252019
Decoding coalescent hidden Markov models in linear time
K Harris, S Sheehan, JA Kamm, YS Song
International Conference on Research in Computational Molecular Biology, 100-114, 2014
112014
Automatic inference of demographic parameters using generative adversarial networks
Z Wang, J Wang, M Kourakos, N Hoang, HH Lee, I Mathieson, ...
Molecular Ecology Resources, 2021
52021
Ancestral haplotype reconstruction in endogamous populations using identity-by-descent
K Finke, M Kourakos, G Brown, HT Dang, SJS Tan, YB Simons, ...
PLoS computational biology 17 (2), e1008638, 2021
22021
Distributed Pipeline for Genomic Variant Calling
R Xia, S Sheehan, Y Zhang, A Talwalkar, M Zaharia, J Terhorst, M Jordan, ...
NIPS Workshop on BIG Learning, 2012
12012
CSC# 390# Topics# in# Artificial# Intelligence
S Mathieson
2016
Deep Learning for Population Genetic Inference
S Mathieson, YS Song
2016
Scalable algorithms for population genomic inference
S Sheehan
University of California, Berkeley, 2015
2015
Estimating variable effective population sizes from multiple genomes: A sequentially Markov conditional sampling distribution approach
S Mathieson, K Harris, YS Song
2013
The system can't perform the operation now. Try again later.
Articles 1–14