HEMDAG: Hierarchical Ensemble Methods for Directed Acyclic Graphs
Version 1.0.0

An implementation of Hierarchical Ensemble Methods for DAGs: 'HTD-DAG' (Hierarchical Top Down) and 'TPR-DAG' (True Path Rule). 'HEMDAG' can be used to enhance the predictions of virtually any flat learning method, by taking into account the hierarchical nature of the classes of a bio-ontology. 'HEMDAG' 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 it can be also safely applied to tree-structured taxonomies (as FunCat), since trees are DAGs. 'HEMDAG' scale nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples. (Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini, Prediction of Human Phenotype Ontology terms by means of Hierarchical Ensemble methods, BMC Bioinformatics 2017).

Package details

AuthorMarco Notaro [aut, cre] and Giorgio Valentini [aut] (AnacletoLab, Dipartimento di Informatica, Universita' degli Studi di Milano)
Date of publication2017-08-11 21:56:15 UTC
MaintainerMarco Notaro <[email protected]>
LicenseGPL (>= 3)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the HEMDAG package in your browser

Any scripts or data that you put into this service are public.

HEMDAG documentation built on Aug. 12, 2017, 1:04 a.m.