Author

M. Gehara

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

E. A. Myers· 1 shared F. Burbrink· 1 shared F. T. Burbrink· 1 shared G. G. Mazzochinni· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 2 mutual co-author links

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1 shared paperEvolutionary Biology

E. A. Myers

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2 papers

Recent·Most cited

PipeMaster: inferring population divergence and demographic history with approximate Bayesian computation and supervised machine-learning in R

M. Gehara, G. G. Mazzochinni, F. T. Burbrink

PipeMaster uses ABC and SML to infer population divergence and demographic history, finding SML more efficient and accurate than ABC in three empirical examples.

bioRxiv · Dec 4, 2020 · PreprintEvolutionary Biology

Resolving spatial complexities of hybridization in the context of the gray zone of speciation in North American ratsnakes (Pantherophis obsoletus complex)

F. Burbrink, M. Gehara, E. A. Myers

The paper uses population genomic data to analyze divergence timing, gene flow, and hybrid zone characteristics in North American ratsnakes, finding that divergence timing is not linked to migration rates but correlates with introgression loci.

bioRxiv · May 5, 2020Evolutionary Biology