oncoPredict
(Predict Response from Expression Data and Identify Cell line/Clinical Targets and Trends)
Please note: this repo has moved to https://github.com/HuangLabUMN/oncoPredict/
An R package for drug response prediction and drug-gene association prediction. The prepared GDSC and CTRP matrices for the calcPhenotype() are located in the oncoPredict OSF.
- For drug response prediction, use calcPhenotype.
- For pre-clinical biomarker discovery, use GLDS.
- For clinical biomarker discovery, use IDWAS (for CNV or somatic mutation association with drug response) or indicate cc=TRUE (for gene expression association with drug response) in calcPhenotype().
- The link to updated CCLE gene expression data is found at depmap. We provide GDSC1/GDSC2 pre-processed expression and response data, as well as CTRP response data and depmap's CCLE expression data (18Q2) here.
R
- This directory contains all the R functions included in this package.
vignettes
-
This directory contains vignettes which display detailed examples of the functionalities available in this package.
-
IDWAS This directory contains examples of IDWAS code application for clinical drug-gene association prediction.
- cnv.Rmd Example as to how to download CNV (copy number variation) data from the GDC database, then apply map_cnv() and idwas().
- mut.Rmd Example as to how to download stomatic mutation data from the GDC database, then apply idwas().
-
GLDS This directory contains examples of GLDS code application for pre-clinical drug-gene association prediction.
- glds_GDSC.Rmd Example of GLDS application to GDSC data.
-
calcPhenotype.Rmd Example of calcPhenotype() application.
man
- This directory contains .Rd (R documentation) files for each function. These files were automatically generated upon creation of the package.
NAMESPACE
- This file lists the functions to be imported and exported from this package.
DESCRIPTION
- This file contains the description documentation and metadata for this package.
- Dependencies and packages recommended for oncoPredict are listed here.
Figure 1.
-
This directory contains vignettes which display detailed examples of the functionalities available in this package.
-
IDWAS This directory contains examples of IDWAS code application for clinical drug-gene association prediction.
- cnv.Rmd Example as to how to download CNV (copy number variation) data from the GDC database, then apply map_cnv() and idwas().
- mut.Rmd Example as to how to download stomatic mutation data from the GDC database, then apply idwas().
-
GLDS This directory contains examples of GLDS code application for pre-clinical drug-gene association prediction.
- glds_GDSC.Rmd Example of GLDS application to GDSC data.
-
calcPhenotype.Rmd Example of calcPhenotype() application.
man
- This directory contains .Rd (R documentation) files for each function. These files were automatically generated upon creation of the package.
NAMESPACE
- This file lists the functions to be imported and exported from this package.
DESCRIPTION
- This file contains the description documentation and metadata for this package.
- Dependencies and packages recommended for oncoPredict are listed here.
Figure 1.
- This file lists the functions to be imported and exported from this package.
DESCRIPTION
- This file contains the description documentation and metadata for this package.
- Dependencies and packages recommended for oncoPredict are listed here.
Figure 1.
Flowchart displaying the 3 primary functionalities available through oncoPredict (calcPhenotype, GLDS, IDWAS) as well as the files generated from each function and parameters. Functions and files generated are bold.
