blockForest

Random Forests for Blocks of Clinical and Omics Covariate Data

https://github.com/bips-hb/blockforest

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.0%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Random Forests for Blocks of Clinical and Omics Covariate Data

Basic Info
  • Host: GitHub
  • Owner: bips-hb
  • Language: C++
  • Default Branch: master
  • Size: 245 KB
Statistics
  • Stars: 7
  • Watchers: 4
  • Forks: 4
  • Open Issues: 1
  • Releases: 0
Created about 8 years ago · Last pushed over 3 years ago
Metadata Files
Readme

README.md

R-CMD-check

blockForest: Random Forests for Blocks of Clinical and Omics Covariate Data

Roman Hornung, Marvin N. Wright

Description

A random forest variant suitable for the prediction of binary, survival and continuous outcomes using multi-omics data, i.e., data for which measurements of different types of omics data and/or clinical data for each patient exist. Examples include gene expression measurements, methylation measurements, and copy number variation measurements.

References

  • Hornung, R. & Wright, M. N. (2019). Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinformatics 20:358. https://doi.org/10.1186/s12859-019-2942-y.
  • Wright, M. N. & Ziegler, A. (2017). ranger: A fast implementation of random forests for high dimensional data in C++ and R. J Stat Softw 77:1-17. https://doi.org/10.18637/jss.v077.i01.
  • Breiman, L. (2001). Random forests. Mach Learn, 45:5-32. https://doi.org/10.1023/A:1010933404324.

Owner

  • Name: BIPS
  • Login: bips-hb
  • Kind: organization
  • Location: Bremen, Germany

Leibniz Institute for Prevention Research and Epidemiology

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 53
  • Total Committers: 3
  • Avg Commits per committer: 17.667
  • Development Distribution Score (DDS): 0.038
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Marvin Wright g****b@w****e 51
RomanHornung h****g@i****e 1
Katrin Leinweber k****i@p****e 1
Committer Domains (Top 20 + Academic)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 514 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 6
  • Total maintainers: 1
cran.r-project.org: blockForest

Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 514 Last month
Rankings
Forks count: 12.8%
Stargazers count: 21.1%
Average: 27.5%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Downloads: 38.4%
Maintainers (1)
Last synced: 12 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.1 depends
  • Matrix * imports
  • Rcpp >= 0.11.2 imports
  • methods * imports
  • survival * imports
  • testthat * suggests
.github/workflows/check-standard.yaml actions
  • actions/checkout v2 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