recipe r-hemdag

a collection of Hierarchical Ensemble Methods (HEMs) for Directed Acyclic Graphs (DAGs).

Homepage:

https://CRAN.R-project.org/package=HEMDAG

Documentation:

https://hemdag.readthedocs.io

Developer docs:

https://github.com/marconotaro/hemdag

License:

GPL3 / GPL-3.0-or-later

Recipe:

/r-hemdag/meta.yaml

[](https://hemdag.readthedocs.io/en/latest/?badge=latest)

HEMDAG library: * implements several Hierarchical Ensemble Methods (HEMs) for Directed Acyclic Graphs (DAGs); * reconciles flat predictions with the topology of the ontology; * can enhance predictions of virtually any flat learning methods by taking into account the hierarchical relationships between ontology classes; * provides biologically meaningful predictions that always obey the true-path-rule, the biological and logical rule that governs the internal coherence of biomedical ontologies; * 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 (e.g. FunCat), since trees are DAGs; * scales nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples; * provides several utility functions to process and analyze graphs; * provides several performance metrics to evaluate HEMs algorithms.

package r-hemdag

Versions:

2.7.4-5,  2.7.4-4,  2.7.4-3,  2.7.4-2,  2.7.4-1,  2.7.4-0,  2.7.3-2,  2.7.3-0,  2.6.1-1, 

2.7.4-5,  2.7.4-4,  2.7.4-3,  2.7.4-2,  2.7.4-1,  2.7.4-0,  2.7.3-2,  2.7.3-0,  2.6.1-1,  2.6.1-0,  2.6.0-0,  2.5.9-0,  2.4.8-0,  2.4.7-1,  2.4.7-0,  2.2.5-1,  2.2.5-0,  2.1.3-0,  2.1.2-0,  2.0.1-0

Depends:

• bioconductor-graph

• bioconductor-preprocesscore

• bioconductor-rbgl

• libgcc-ng >=12

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-doparallel

• r-foreach

• r-plyr

• r-precrec

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install r-hemdag

and update with:

conda update r-hemdag

or use the docker container:

docker pull quay.io/biocontainers/r-hemdag:<tag>

(see r-hemdag/tags for valid values for <tag>)

Download stats

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