Erkan Buzbas
Title
Cited by
Cited by
Year
Recent selective sweeps in North American Drosophila melanogaster show signatures of soft sweeps
NR Garud, PW Messer, EO Buzbas, DA Petrov
PLoS Genet 11 (2), e1005004, 2015
2712015
Lack of population diversity in commonly used human embryonic stem-cell lines
JT Mosher, TJ Pemberton, K Harter, C Wang, EO Buzbas, P Dvorak, ...
New England Journal of Medicine 362 (2), 183-185, 2010
522010
Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity
B Devezer, LG Nardin, B Baumgaertner, EO Buzbas
PloS one 14 (5), e0216125, 2019
452019
AABC: approximate approximate Bayesian computation for inference in population-genetic models
EO Buzbas, NA Rosenberg
Theoretical population biology 99, 31-42, 2015
322015
The case for formal methodology in scientific reform
B Devezer, DJ Navarro, J Vandekerckhove, EO Buzbas
biorxiv, 2020
272020
Soft selective sweeps are the primary mode of recent adaptation in Drosophila melanogaster
NR Garud, PW Messer, EO Buzbas, DA Petrov
arXiv preprint arXiv:1303.0906, 757-770, 2013
92013
Efficient simulation and likelihood methods for non-neutral multi-allele models
P Joyce, A Genz, EO Buzbas
Journal of Computational Biology 19 (6), 650-661, 2012
82012
Efficient simulation methods for a class of nonneutral population genetics models
P Joyce, A Genz, EO Buzbas
Computational Biology, 2012
7*2012
Genotype imputation in a coalescent model with infinitely-many-sites mutation
L Huang, EO Buzbas, NA Rosenberg
Theoretical population biology 87, 62-74, 2013
62013
Inference on the strength of balancing selection for epistatically interacting loci
EO Buzbas, P Joyce, NA Rosenberg
Theoretical population biology 79 (3), 102-113, 2011
62011
Maximum likelihood estimates under k-allele models with selection can be numerically unstable
EO Buzbas, P Joyce
The Annals of applied statistics, 1147-1162, 2009
62009
Estimation of selection intensity under overdominance by Bayesian methods
EO Buzbas, P Joyce, Z Abdo
Statistical Applications in Genetics and Molecular Biology 8 (1), 2009
62009
On the article titled" Estimating species trees using approximate Bayesian computation"(Fan and Kubatko, Molecular Phylogenetics and Evolution 59: 354-363)
EO Buzbas
Molecular phylogenetics and evolution 65 (3), 1014-1016, 2012
52012
A model-centric analysis of openness, replication, and reproducibility
B Baumgaertner, B Devezer, EO Buzbas, LG Nardin
ArXiv e-prints, 2018
42018
Inference on admixture fractions in a mechanistic model of recurrent admixture
EO Buzbas, P Verdu
Theoretical population biology 122, 149-157, 2018
42018
AABC: approximate approximate Bayesian computation when simulating a large number of data sets is computationally infeasible
EO Buzbas, NA Rosenberg
arXiv preprint arXiv:1301.6282, 2013
42013
Discovery of truth is not implied by reproducibility but facilitated by innovation and epistemic diversity in a model-centric framework
B Devezer, LG Nardin, B Baumgaertner, E Buzbas
Manuscript submitted for publication, 2018
32018
Need of mathematical formalism in proposals for robust modeling
E Buzbas
Computational Brain & Behavior 2 (3), 197-199, 2019
22019
Recent selective sweeps in Drosophila were abundant and primarily soft
NR Garud, PW Messer, EO Buzbas, DA Petrov, NR Garud, DA Petrov
arXiv preprint arXiv:1303.0906, 2013
22013
Openness and reproducibility: Insights from a model-centric approach
B Baumgaertner, B Devezer, EO Buzbas, LG Nardin
arXiv preprint arXiv:1811.04525, 2018
12018
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Articles 1–20