Disease_drugs

The simulated result data of only two sample types is generated by the functional PrioSubtypeDrug.

datasets

A systematic biology tool was developed to prioritize cancer subtype-specific drugs by integrating genetic perturbation, drug action, biological pathway, and cancer subtype.
The capabilities of this tool include inferring patient-specific subpathway activity profiles in the context of gene expression profiles with subtype labels, calculating differentially
expressed subpathways based on cultured human cells treated with drugs in the 'cMap' (connectivity map) database, prioritizing cancer subtype specific drugs according to drug-disease
reverse association score based on subpathway, and visualization of results (Castelo (2013) <doi:10.1186/1471-2105-14-7>; Han et al (2019) <doi:10.1093/bioinformatics/btz894>; Lamb and Justin (2006) <doi:10.1126/science.1132939>). Please cite using <doi:10.1093/bioinformatics/btab011>.

Junwei Han

SubtypeDrug

Prioritization of Candidate Cancer Subtype Specific Drugs

Disease_drugs function

A list containing 8 variables.
The variables are as follows:<ul>
<li>Cacner Results table for cacner</li>
<li>SubpathwayMatrix Subpathway activity natrix</li>
<li>SampleInformation Cancer sample phenotypic information</li>
<li>Parameter Parameter of the function PrioSubtypeDrug</li>
</ul>

Disease_drugs: Simulated result data

Description

Usage

Arguments

Format

Examples