Sara Mathieson
Sara Mathieson
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Cited by
Cited by
Deep learning for population genetic inference
S Sheehan, YS Song
PLoS computational biology 12 (3), e1004845, 2016
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
FADS1 and the Timing of Human Adaptation to Agriculture
S Mathieson, I Mathieson
Molecular biology and evolution 35 (12), 2957-2970, 2018
A likelihood-free inference framework for population genetic data using exchangeable neural networks
J Chan, V Perrone, J Spence, P Jenkins, S Mathieson, Y Song
Advances in neural information processing systems 31, 2018
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, 1-12, 2019
Automatic inference of demographic parameters using generative adversarial networks
Z Wang, J Wang, M Kourakos, N Hoang, HH Lee, I Mathieson, ...
Molecular ecology resources 21 (8), 2689-2705, 2021
Telescoper: de novo assembly of highly repetitive regions
M Bresler, S Sheehan, AH Chan, YS Song
Bioinformatics 28 (18), i311-i317, 2012
Decoding coalescent hidden Markov models in linear time
K Harris, S Sheehan, JA Kamm, YS Song
Research in Computational Molecular Biology: 18th Annual International …, 2014
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
Interpreting Generative Adversarial Networks to Infer Natural Selection from Genetic Data
R Riley, I Mathieson, S Mathieson
bioRxiv, 2023.03. 07.531546, 2023
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
The genomic footprint of social stratification in admixing American populations
A Mas-Sandoval, S Mathieson, M Fumagalli
bioRxiv, 2022.11. 16.516754, 2022
Comparison of cohort-based identical-by-descent (IBD) segment finding methods for endogamous populations
HT Dang, SJS Tan, S Mathieson
Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022
CSC# 390# Topics# in# Artificial# Intelligence
S Mathieson
Deep Learning for Population Genetic Inference
S Mathieson, YS Song
Scalable algorithms for population genomic inference
S Sheehan
University of California, Berkeley, 2015
Estimating variable effective population sizes from multiple genomes: A sequentially Markov conditional sampling distribution approach
S Mathieson, K Harris, YS Song
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