Yujin Chung, Ph.D.
Affiliations: | 2012 | Statistics | University of Wisconsin, Madison, Madison, WI |
Area:
Statistics, Biostatistics BiologyGoogle:
"Yujin Chung"Parents
Sign in to add mentorCecile Ane | grad student | 2012 | UW Madison | |
(Inference of Gene Tree Discordance and Recombination.) | ||||
Jody Hey | post-doc | Temple University (FlyTree) |
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Publications
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Chung Y. (2023) Assessing the impact of recombination on the estimation of isolation-with-migration models using genomic data: a simulation study. Genomics & Informatics. 21: e27 |
Chung Y. (2020) A maximum likelihood approach to infer demographic models Communications For Statistical Applications and Methods. 27: 385-395 |
Chung Y. (2019) Recent advances in Bayesian inference of isolation-with-migration models. Genomics & Informatics. 17: e37 |
Hey J, Chung Y, Sethuraman A, et al. (2018) Phylogeny Estimation by Integration over Isolation with Migration Models. Molecular Biology and Evolution |
Chung Y, Hey J. (2017) Bayesian Analysis of Evolutionary Divergence with Genomic Data Under Diverse Demographic Models. Molecular Biology and Evolution |
Hey J, Chung Y, Sethuraman A. (2015) On the occurrence of false positives in tests of migration under an isolation-with-migration model. Molecular Ecology. 24: 5078-83 |
Chung Y, Perna NT, Ané C. (2013) Computing the joint distribution of tree shape and tree distance for gene tree inference and recombination detection. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 10: 1263-74 |
Chung Y, Ané C. (2011) Comparing two Bayesian methods for gene tree/species tree reconstruction: simulations with incomplete lineage sorting and horizontal gene transfer. Systematic Biology. 60: 261-75 |
Lee SY, Chung Y, Elston RC, et al. (2007) Log-linear model-based multifactor dimensionality reduction method to detect gene gene interactions. Bioinformatics (Oxford, England). 23: 2589-95 |
Chung Y, Lee SY, Elston RC, et al. (2007) Odds ratio based multifactor-dimensionality reduction method for detecting gene-gene interactions. Bioinformatics (Oxford, England). 23: 71-6 |