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- W4308391440 abstract "Abstract Summary Animal behavioral studies typically generate high-dimensional data sets consisting of multiple correlated outcome measures across distinct or related behavioral domains. Here we introduce the BEhavioral Explorative analysis R shiny APP (beeRapp) that facilitates explorative and inferential analysis of behavioral data in a high-throughput fashion. By employing an intuitive and user-friendly graphical user interface, beeRapp empowers behavioral scientists without programming and data science expertise to perform clustering, dimensionality reduction, correlational and inferential statistics and produce up to thousands of high-quality output plots visualizing results in a standardized and automated way. Availability https://github.com/anmabu/beeRapp" @default.
- W4308391440 created "2022-11-11" @default.
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- W4308391440 date "2022-11-07" @default.
- W4308391440 modified "2023-10-18" @default.
- W4308391440 title "beeRapp: An R Shiny App for automated high-throughput explorative analysis of multivariate behavioral data" @default.
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- W4308391440 doi "https://doi.org/10.1093/bioadv/vbac082" @default.
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