Package: OTclust 1.0.6

OTclust: Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis

Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result. Jia Li, Beomseok Seo, and Lin Lin (2019) <doi:10.1002/sam.11418>. Lixiang Zhang, Lin Lin, and Jia Li (2020) <doi:10.1093/bioinformatics/btaa165>.

Authors:Lixiang Zhang [aut, cre], Beomseok Seo [aut], Lin Lin [aut], Jia Li [aut]

OTclust_1.0.6.tar.gz
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OTclust.pdf |OTclust.html
OTclust/json (API)
NEWS

# Install 'OTclust' in R:
install.packages('OTclust', repos = c('https://phoelief.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • YAN - Single cell gene data from Yan's paper
  • sim1 - Simulated toy data
  • vis_pollen - Single cell gene visualization data from Pollen's paper

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 0.36 score 30 dependencies 6 scripts 276 downloads

Last updated 12 months agofrom:1730ee0f5e. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-win-x86_64OKSep 09 2024
R-4.5-linux-x86_64OKSep 09 2024
R-4.4-win-x86_64OKSep 09 2024
R-4.4-mac-x86_64OKSep 09 2024
R-4.4-mac-aarch64OKSep 09 2024
R-4.3-win-x86_64OKSep 09 2024
R-4.3-mac-x86_64OKSep 09 2024
R-4.3-mac-aarch64OKSep 09 2024

Exports:alignclustCPScplotCPSensemblejaccardmplototclustotplotperturbpplotpreprocessvisCPSwassDist

Dependencies:classclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr

Quick tour of OTclust

Rendered fromOTclust.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2023-09-25
Started: 2019-05-06