Package 'DvDdata'

Title: Drug versus Disease Data
Description: Data package which provides default drug and disease expression profiles for the DvD package.
Authors: C. Pacini
Maintainer: J. Saez-Rodriguez <[email protected]>
License: GPL-3
Version: 1.49.0
Built: 2026-10-10 10:33:36 UTC
Source: https://github.com/bioc/DvDdata

Help Index


DvD Data Package

Description

Data package to provide default ranked profiles, clusters and Cytoscape http://www.cytoscape.org/ file format for the DvD package.

Details

Package: DvDdata
Type: Package
Version: 1.0
Date: 2012-05-16
License: GPL-2
LazyLoad: yes

Data loaded automatically in the DvD package.

Author(s)

C. Pacini

Maintainer: Julio [email protected]

References

Drug Profiles: http://www.broadinstitute.org/cmap/ Disease Profiles: http://www.ncbi.nlm.nih.gov/geo/

Examples

#load the disease Ranked lists:
data(diseaseRL)

Annotation List Matrix

Description

Maps the annotation of Affymetrix platforms from the affy [1] package to the annotation names in BioMaRt [2]

Usage

data(annotationlist)

Format

Matrix 3 rows, 2 columns.

Details

Provided for three Affymetrix platforms HG-U133A, HG-U133A2 and HG-U133Plus2.

References

[1]Irizarry et al. (2003) Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Research, 31(4); e15.

[2]Durinck et al. (2009). Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt. Nature Protocols 4, 1184-1191.

Examples

data(annotationlist)

Cytodisease data frame

Description

Data frame containing information for generating the Cytoscape SIF file. Contains the connections between the affinity propagation clustering of the disease profiles.

Usage

data(cytodisease)

Format

A data frame with 85 observations on 4 variables.

Details

Columns 1 and 2 contain the names of the nodes connected in the network. The third have the distances according to the GSEA scores and the fourth column is edge type the Running sum Peak Sign (RPS) for which 1 denotes positive correlation and (-1) a negative correlation.

Source

http://www.ncbi.nlm.nih.gov/geo/

References

Barrett T et al. (2011) NCBI GEO: archive for func- tional genomics data sets-10 years on. Nucl. Acids Res, 39, D1005-D1010.

Iorio et al. (2010) Discovery of drug mode of action and drug repositioning from transcriptional responses. PNAS, 107(33), 14621- 14626.

Examples

data(cytodisease)

Cytodrug data frame

Description

Data frame containing information for input into Cytoscape SIF file format. Contains the connections between the affinity propagation clustering of the drug profiles.

Usage

data(cytodrug)

Format

A data frame with 1309 observations on 4 variables.

Details

Columns 1 and 2 contain the names of the nodes connected in the network. The third have the distances according to the GSEA scores and the fourth column is edge type the Running sum Peak Sign (RPS) for which 1 denotes positive correlation and (-1) a negative correlation.

Source

http://www.broadinstitute.org/genome_bio/connectivitymap.html

References

Lamb J et al. (2006) The Connectivity Map: Using Gene- Expression Signatures to Connect Small Molecules, Genes, and Disease. Science, 313(5795), 1929-1935.

Iorio et al. (2010) Discovery of drug mode of action and drug repositioning from transcriptional responses. PNAS, 107(33), 14621- 14626.

Examples

data(cytodrug)

Disease Clusters Matrix

Description

Containing the names of the disease profiles and the numbers of the clusters for each node, as determined by affinity propagation clustering using GSEA scores for similarity matrix.

Usage

data(diseaseClusters)

Format

A data frame with 85 observations on 2 variables.

Details

Contains the cluster assignments for each of the disease profiles. The clusters were obtained using similarity scores from GSEA as input to the affinity propagation clustering method.

Source

http://www.ncbi.nlm.nih.gov/geo/

References

http://www.ncbi.nlm.nih.gov/geo/

Examples

data(diseaseClusters)

Disease experiment names map to MeSH queries

Description

Data frame containing the names of the experiments in the disease clusters, with the corresponding search terms to use in the MeSH browser through NCBI.

Usage

data(diseaselabels)

Details

Character matrix containing the names of the disease profiles in the DvDdata reference set in the first column [1]. Second column contains the corresponding search term that can be used in the MeSH browser.

Source

http://www.ncbi.nlm.nih.gov/mesh/

References

[1] Barrett T, Troup DB, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, Marshall KA, Phillippy KH, Sherman PM, Muertter RN, Holko M, Ayanbule O, Yefanov A, Soboleva A. NCBI GEO: archive for functional genomics data sets 10 years on. Nucleic Acids Res. 2011 Jan;39(Database issue):D1005-10

Examples

data(diseaselabels)

Disease Ranked List Matrix

Description

Ranked Lists by expression of genes for reference set of disease profiles.

Usage

data(diseaseRL)

Details

Matrix containing ranks of genes (rows) for a set of disease profiles (columns). The ranks are in decreasing order of differential expression.

Source

http://www.ncbi.nlm.nih.gov/geo/

References

http://www.ncbi.nlm.nih.gov/geo/

Examples

data(diseaseRL)

Drug Clusters Matrix

Description

Containing the names of the drug profiles and the numbers of the clusters for each node, as determined by affinity propagation clustering using GSEA scores for similarity matrix.

Usage

data(drugClusters)

Format

A data frame with 1309 observations on 2 variables.

Details

A Data frame containing the names of the compounds in the DvDdata reference set in the first column. The second column contains the cluster they were assigned to using GSEA to calculate similarity between profiles used as input into affinity propagation clustering.

Source

http://www.broadinstitute.org/genome_bio/connectivitymap.html

References

Lamb J et al. (2006) The Connectivity Map: Using Gene- Expression Signatures to Connect Small Molecules, Genes, and Disease. Science, 313(5795), 1929-1935.

Iorio et al. (2010) Discovery of drug mode of action and drug repositioning from transcriptional responses. PNAS, 107(33), 14621- 14626.

Examples

data(drugClusters)

Drug name maps to Drug Bank

Description

Data frame containing the names of the compounds in the DvDdata drug profiles, with corresponding names to search the DrugBank [1] database through its web browser.

Usage

data(druglabels)

Source

http://www.broadinstitute.org/cmap/

References

[1] DrugBank 3.0: a comprehensive resource for 'omics' research on drugs. Knox C, Law V, Jewison T, Liu P, Ly S, Frolkis A, Pon A, Banco K, Mak C, Neveu V, Djoumbou Y, Eisner R, Guo AC, Wishart DS. Nucleic Acids Res. 2011 Jan;39(Database issue):D1035-41.

[2] The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease. Lamb J et al. Science 29 September 2006: 313 (5795), 1929-1935. [DOI:10.1126/science.1132939]

Examples

data(druglabels)

Drug Ranked List Matrix

Description

Ranked Lists by expression of genes for reference set of drug profiles.

Usage

data(drugRL)

Details

A matrix containing the ranked lists of expression profiles for the 1309 drug compounds in the Connectivity Map (version 2) screening. Rows are the genes and the columns contain ranked lists for different drugs. The profiles are in rank decreasing order.

Source

http://www.broadinstitute.org/genome_bio/connectivitymap.html

References

Lamb J et al. (2006) The Connectivity Map: Using Gene- Expression Signatures to Connect Small Molecules, Genes, and Disease. Science, 313(5795), 1929-1935.

Iorio et al. (2010) Discovery of drug mode of action and drug repositioning from transcriptional responses. PNAS, 107(33), 14621- 14626.

Examples

data(drugRL)

Gene List Vector

Description

List of HUGO genes included in the reference data sets.

Usage

data(genelist)

Details

A character vector listing those genes in the reference data sets. Obtained using BioMart annotations of the Affymetrix HGU-133A, HGU-133A2 and HGU-133Plus2 platforms.

References

Durinck et al. (2009). Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt. Nature Protocols 4, 1184-1191.

Examples

data(genelist)

GEO Factor Values vector

Description

List of possible factor values the GEO data sets can have.

Usage

data(GEOfactorvalues)

Details

This character vector lists all the available experimental factors which are available in the GEO which can be used explanatory factors in a linear regression model.

Source

http://www.ncbi.nlm.nih.gov/geo/

Examples

data(GEOfactorvalues)