Work

Data and code for Bayesian model selection manuscript

Year: 2021

Type: dataset

Abstract: Data and code used for the Bayesian model selection manuscript. Data includes liver tissue protein abundance and genotypes from ~200 Diversity Outbred mice and gene expression and chromatin accessibility from human cell lines. Code for processing data, running analysis, and producing figures are included. A fixed version of the R package for Bayesian model selection, bmediatR, is also included.

Source: Figshare

DOI: 10.6084/m9.figshare.14912484

Authors: Greg Keele, Wes Crouse

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funder: National Institute of General Medical Sciences

Awards: Systems Genetic Analysis of Multi-parent Crosses, Bayesian Modeling of Mass-Spec Proteomics Data to Advance Studies of the Genetic Regulation of Proteins, Statistical Modeling of Multiparental and Genetic Reference Populations

OpenAlex ID: W4394149443

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