poem

A package containing metrics for evaluating subpopulation identification in clusterings, embeddings, graphs and space.

https://github.com/roseyuan/poem

Science Score: 26.0%

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Last synced: 10 months ago · JSON representation

Repository

A package containing metrics for evaluating subpopulation identification in clusterings, embeddings, graphs and space.

Basic Info
  • Host: GitHub
  • Owner: RoseYuan
  • License: gpl-3.0
  • Language: R
  • Default Branch: devel
  • Homepage:
  • Size: 15.7 MB
Statistics
  • Stars: 7
  • Watchers: 2
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created about 2 years ago · Last pushed 12 months ago
Metadata Files
Readme Changelog License

README.md

poem: POpulation-based Evaluation Metrics

R-CMD-check <!-- badges: end -->

Overview

The poem package provides multiple metrics for evaluating subpopulation structure identification in a dataset. These include:

  • Metrics for comparing two partitions[^1] of the same dataset, or metrics evaluating the alignment between a dataset’s embedding or graph representations with its partition.

  • Metrics for comparing two fuzzy partitions[^2], or for comparing a hard partition with a fuzzy partition. This allows the evaluation of fuzzy partition results by assessing its agreement to a fuzzy or a hard ground-truth partition.

  • Metrics tailored for domain detection in spatially-resolved omics data. These include especially external evaluation metrics (i.e. based on a comparison to ground truth labels), but also internal metrics.

[^1]: A partition is a way of organizing the data points of a dataset into distinct, non-overlapping, and non-empty subsets. For example, a clustering is a partition.

[^2]: In 'hard' partitions, each data point belongs to one and only one subset. However, clustering can also generate fuzzy partitions, in which data points can belong to multiple subsets with varying degrees (or probability) of membership.

For a detailed introduction of the package, see the online docs.

Installation

poem is available through Bioconductor, and can be installed using the following commands: r if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("poem")

Contact

In case you have any questions or suggestions to poem, please consider opening an issue to the GitHub repository.

Owner

  • Name: Siyuan Luo
  • Login: RoseYuan
  • Kind: user

GitHub Events

Total
  • Watch event: 10
  • Push event: 132
  • Create event: 3
  • Commit comment event: 1
Last Year
  • Watch event: 10
  • Push event: 132
  • Create event: 3
  • Commit comment event: 1

Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 1,331 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
bioconductor.org: poem

POpulation-based Evaluation Metrics

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,331 Total
Rankings
Dependent repos count: 0.0%
Dependent packages count: 30.3%
Average: 40.9%
Downloads: 92.5%
Maintainers (1)
Last synced: 11 months ago

Dependencies

.github/workflows/check.yaml actions
  • actions/checkout v2 composite
  • actions/upload-artifact master composite
DESCRIPTION cran
  • R >= 4.0 depends
  • BiocNeighbors * imports
  • BiocParallel * imports
  • Matrix * imports
  • aricode * imports
  • bluster * imports
  • clevr * imports
  • clue * imports
  • cluster * imports
  • elsa * imports
  • fclust * imports
  • igraph * imports
  • mclustcomp * imports
  • methods * imports
  • sp * imports
  • spdep * imports
  • stats * imports
  • utils * imports
  • BiocStyle * suggests
  • DT * suggests
  • cowplot * suggests
  • dplyr * suggests
  • ggnetwork * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • scico * suggests
  • testthat >= 3.0.0 suggests
  • tidyr * suggests
Dockerfile docker
  • bioconductor/bioconductor_docker devel build
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite