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Ryan N Gutenkunst

Showing results (1-10 of 66) with videos related to

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Molecular Biology and Evolution|January 22, 2021
dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing UnitsRyan N Gutenkunst
Plos Computational Biology|March 8, 2014
Effect of dedifferentiation on time to mutation acquisition in stem cell-driven cancersAlexandra Jilkine, Ryan N Gutenkunst
Plos Genetics|July 6, 2016
Selection on Network Dynamics Drives Differential Rates of Protein Domain EvolutionBrian K Mannakee, Ryan N Gutenkunst
Genetics|April 18, 2017
Inferring Demographic History Using Two-Locus StatisticsAaron P Ragsdale, Ryan N Gutenkunst
NAR Genomics and Bioinformatics|February 14, 2020
BATCAVE: calling somatic mutations with a tumor- and site-specific priorBrian K Mannakee, Ryan N Gutenkunst
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 Ecology Resources|March 8, 2021
Chromosome-scale inference of hybrid speciation and admixture with convolutional neural networksPaul D Blischak, Michael S Barker, Ryan N Gutenkunst
Human Genomics|August 15, 2018
The impact of genome-wide association studies on biomedical research publicationsTravis J Struck, Brian K Mannakee, Ryan N Gutenkunst
Molecular Biology and Evolution|February 19, 2020
Inferring the Demographic History of Inbred Species from Genome-Wide SNP Frequency DataPaul D Blischak, Michael S Barker, Ryan N Gutenkunst
Pageof 7

Showing results (1-10 of 66) with videos related to

Sort By:
Pageof 7
Molecular Biology and Evolution|January 22, 2021
dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing UnitsRyan N Gutenkunst
Plos Computational Biology|March 8, 2014
Effect of dedifferentiation on time to mutation acquisition in stem cell-driven cancersAlexandra Jilkine, Ryan N Gutenkunst
Plos Genetics|July 6, 2016
Selection on Network Dynamics Drives Differential Rates of Protein Domain EvolutionBrian K Mannakee, Ryan N Gutenkunst
Genetics|April 18, 2017
Inferring Demographic History Using Two-Locus StatisticsAaron P Ragsdale, Ryan N Gutenkunst
NAR Genomics and Bioinformatics|February 14, 2020
BATCAVE: calling somatic mutations with a tumor- and site-specific priorBrian K Mannakee, Ryan N Gutenkunst
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 Ecology Resources|March 8, 2021
Chromosome-scale inference of hybrid speciation and admixture with convolutional neural networksPaul D Blischak, Michael S Barker, Ryan N Gutenkunst
Human Genomics|August 15, 2018
The impact of genome-wide association studies on biomedical research publicationsTravis J Struck, Brian K Mannakee, Ryan N Gutenkunst
Molecular Biology and Evolution|February 19, 2020
Inferring the Demographic History of Inbred Species from Genome-Wide SNP Frequency DataPaul D Blischak, Michael S Barker, Ryan N Gutenkunst
Pageof 7