Boj, Eva <evaboj@ub.edu>, Caballe, Adria <adria.caballe@upc.edu>, Delicado, Pedro <pedro.delicado@upc.edu> and Fortiana, Josep <fortiana@ub.edu>.
This package contains functions for distance-based prediction methods. These are methods for prediction where predictor information is coded as a matrix of distances between individuals. Distances can either be directly input as an interdistances matrix, a squared interdistances matrix, an inner-products matrix or computed from observed explanatory variables.

Prediction methods where explanatory information is coded as a matrix of distances between individuals. Distances can either be directly input as a distances matrix, a squared distances matrix, an inner-products matrix or computed from observed predictors.

Boj, Eva <evaboj@ub.edu>, Caballe, Adria <adria.caballe@irb.barcelona.org>, Delicado, Pedro <pedro.delicado@upc.edu> and Fortiana, Josep <fortiana@ub.edu>.

person("Andrew", "Kane", email = "andrew@chartkick.com", role = c("aut", "cre"))
Provides select, insert, update, upsert, and delete database operations. Supports 'PostgreSQL', 'MySQL', 'SQLite', and more, and plays nicely with the 'DBI' package.
testthat (>= 1.0.2), urltools (>= 1.7.0), RSQLite (>= 1.1-2),
RMariaDB, RMySQL, RPostgres, RPostgreSQL, dplyr (>= 0.5.0)

testthat (>= 1.0.2), urltools (>= 1.7.0), RSQLite (>= 1.1-2),
RMariaDB, RMySQL, RPostgres, RPostgreSQL, hms, jsonlite, blob

testthat (>= 1.0.2), urltools (>= 1.7.0), RSQLite (>= 1.1-2),
RMariaDB, RMySQL, RPostgres, RPostgreSQL, hms, jsonlite, blob,
odbc

testthat (>= 1.0.2), urltools (>= 1.7.0), RSQLite (>= 2.1.2),
RMariaDB, RMySQL (>= 0.10.20), RPostgres, RPostgreSQL, hms,
jsonlite, blob, odbc

Inferring Disease Networks via Differential Network Inference
Performs differential network analysis to infer disease specific gene networks.

Inferring Condition-Specific Networks via Differential Network
Inference

an open-source R package for analysing domain-centric ontologies
and annotations
The 'dcGOR' package is intended to provide the wider bioinformatics community with the use of the dcGO database. The dcGO (http://supfam.org/SUPERFAMILY/dcGO) is a comprehensive domain-centric database for annotating protein domains using a variety of ontologies on functions, phenotypes, diseases and more. With the package, users are expected to easily analyse and visualise domain-centric ontologies and annotations. Supported analyses include but are not limited to: easy access to a wide range of ontologies and their domain-centric annotations; enrichment analysis and visual outputs; semantic similarity between annotated domains from ontology term semantic similarity; random walk with restart upon domain-domain (semantic) networks; and high-performance parallel computing.
'ClassMethod-dcGOR.r' 'dcDAGannotate.r' 'dcRDataLoader.r'
'dcEnrichment.r' 'dcDAGdomainSim.r' 'dcRWRpipeline.r'