The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
An implementation of several Hierarchical Ensemble Methods (HEMs) for Directed Acyclic Graphs (DAGs). 'HEMDAG' package: 1) reconciles flat predictions with the topology of the ontology; 2) can enhance the predictions of virtually any flat learning methods by taking into account the hierarchical relationships between ontology classes; 3) provides biologically meaningful predictions that always obey the true-path-rule, the biological and logical rule that governs the internal coherence of biomedical ontologies; 4) is specifically designed for exploiting the hierarchical relationships of DAG-structured taxonomies, such as the Human Phenotype Ontology (HPO) or the Gene Ontology (GO), but can be safely applied to tree-structured taxonomies as well (as FunCat), since trees are DAGs; 5) scales nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples; 6) provides several utility functions to process and analyze graphs; 7) provides several performance metrics to evaluate HEMs algorithms. (Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini (2017) <doi:10.1186/s12859-017-1854-y>).
Version: | 2.7.4 |
Depends: | R (≥ 2.10) |
Imports: | graph, RBGL, precrec, preprocessCore, methods, plyr, foreach, doParallel, parallel |
Suggests: | Rgraphviz, testthat |
Published: | 2021-02-12 |
DOI: | 10.32614/CRAN.package.HEMDAG |
Author: | Marco Notaro |
Maintainer: | Marco Notaro <marco.notaro at unimi.it> |
BugReports: | https://github.com/marconotaro/hemdag/issues |
License: | GPL (≥ 3) |
URL: | https://hemdag.readthedocs.io https://github.com/marconotaro/hemdag https://anaconda.org/bioconda/r-hemdag |
NeedsCompilation: | yes |
Citation: | HEMDAG citation info |
Materials: | NEWS |
CRAN checks: | HEMDAG results |
Reference manual: | HEMDAG.pdf |
Package source: | HEMDAG_2.7.4.tar.gz |
Windows binaries: | r-devel: HEMDAG_2.7.4.zip, r-release: HEMDAG_2.7.4.zip, r-oldrel: HEMDAG_2.7.4.zip |
macOS binaries: | r-release (arm64): HEMDAG_2.7.4.tgz, r-oldrel (arm64): HEMDAG_2.7.4.tgz, r-release (x86_64): HEMDAG_2.7.4.tgz, r-oldrel (x86_64): HEMDAG_2.7.4.tgz |
Old sources: | HEMDAG archive |
Please use the canonical form https://CRAN.R-project.org/package=HEMDAG to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.