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Biorxiv : the Preprint Server for Biology|April 8, 2025
ConfuseNN: Interpreting convolutional neural network inferences in population genomics with data shufflingLinh N Tran, David Castellano, Ryan N Gutenkunst
Molecular Biology and Evolution|October 6, 2025
Interpreting Supervised Machine Learning Inferences in Population Genomics Using Haplotype Matrix PermutationsLinh N Tran, David Castellano, Ryan N Gutenkunst
Molecular Biology and Evolution|January 23, 2025
Modeling Biases from Low-Pass Genome Sequencing to Enable Accurate Population Genetic InferencesEmanuel M Fonseca, Linh N Tran, Hannah Mendoza, et al.
Biorxiv : the Preprint Server for Biology|August 2, 2024
Modeling biases from low-pass genome sequencing to enable accurate population genetic inferencesEmanuel M Fonseca, Linh N Tran, Hannah Mendoza, et al.
Biorxiv : the Preprint Server for Biology|February 26, 2024
Computationally efficient demographic history inference from allele frequencies with supervised machine learningLinh N Tran, Connie K Sun, Travis J Struck, et al.
Molecular Biology and Evolution|April 18, 2024
Computationally Efficient Demographic History Inference from Allele Frequencies with Supervised Machine LearningLinh N Tran, Connie K Sun, Travis J Struck, et al.
Peer Community Journal|April 21, 2025
Detection of domestication signals through the analysis of the full distribution of fitness effectsDavid Castellano, Ioanna-Theoni Vourlaki, Ryan N Gutenkunst, et al.
The American Naturalist|October 4, 2023
Shifts in Mutation Bias Promote Mutators by Altering the Distribution of Fitness EffectsMarwa Z Tuffaha, Saranya Varakunan, David Castellano, et al.
Biorxiv : the Preprint Server for Biology|May 15, 2024
Non-hypermutator cancers access driver mutations through reversals in germline mutational biasMarwa Z Tuffaha, David Castellano, Claudia Serrano Colome, et al.
Molecular Biology and Evolution|January 22, 2021
dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing UnitsRyan N Gutenkunst
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