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Andrew Corbin

dblp:216/4846 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › population genetics
population genomics
0.312018
ThetaMater: Bayesian estimation of population size parameter θ from genomic data · Bioinform. 2018
Bioinformatics and computational biology › biostatistics › statistical bioinformatics
statistical genomics
0.312018
ThetaMater: Bayesian estimation of population size parameter θ from genomic data · Bioinform. 2018

Methods — techniques the papers use, named apart from their topics

coalescent model · 0.3bayesian inference · 0.3
YearPublicationVenuePosition
2018 ThetaMater: Bayesian estimation of population size parameter θ from genomic data
abstract
Summary: We describe ThetaMater, an open source R package comprising a suite of functions for efficient and scalable Bayesian estimation of the population size parameter θ from genomic data. Availability and implementation: ThetaMater is available at GitHub (https://github.com/radamsRHA/ThetaMater). Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.
Richard H. Adams, Drew R. Schield, Daren C. Card, Andrew Corbin, Todd A. Castoe
Bioinform.4