% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/pRRophetic.R

\name{getCGPinfo}

\alias{getCGPinfo}

\title{Given a drug and tissue type, return CGP expression and drug sensitivity data.}

\usage{

getCGPinfo(drug, tissueType = "all", dataset = "cgp2014")

}

\arguments{

\item{drug}{The name of the drug for which you would like to predict sensitivity, one of A.443654, A.770041, ABT.263, ABT.888, AG.014699, AICAR, AKT.inhibitor.VIII, AMG.706, AP.24534, AS601245, ATRA, AUY922, Axitinib, AZ628, AZD.0530, AZD.2281, AZD6244, AZD6482, AZD7762, AZD8055, BAY.61.3606, Bexarotene, BI.2536, BIBW2992, Bicalutamide, BI.D1870, BIRB.0796, Bleomycin, BMS.509744, BMS.536924, BMS.708163, BMS.754807, Bortezomib, Bosutinib, Bryostatin.1, BX.795, Camptothecin, CCT007093, CCT018159, CEP.701, CGP.082996, CGP.60474, CHIR.99021, CI.1040, Cisplatin, CMK, Cyclopamine, Cytarabine, Dasatinib, DMOG, Docetaxel, Doxorubicin, EHT.1864, Elesclomol, Embelin, Epothilone.B, Erlotinib, Etoposide, FH535, FTI.277, GDC.0449, GDC0941, Gefitinib, Gemcitabine, GNF.2, GSK269962A, GSK.650394, GW.441756, GW843682X, Imatinib, IPA.3, JNJ.26854165, JNK.9L, JNK.Inhibitor.VIII, JW.7.52.1, KIN001.135, KU.55933, Lapatinib, Lenalidomide, LFM.A13, Metformin, Methotrexate, MG.132, Midostaurin, Mitomycin.C, MK.2206, MS.275, Nilotinib, NSC.87877, NU.7441, Nutlin.3a, NVP.BEZ235, NVP.TAE684, Obatoclax.Mesylate, OSI.906, PAC.1, Paclitaxel, Parthenolide, Pazopanib, PD.0325901, PD.0332991, PD.173074, PF.02341066, PF.4708671, PF.562271, PHA.665752, PLX4720, Pyrimethamine, QS11, Rapamycin, RDEA119, RO.3306, Roscovitine, Salubrinal, SB.216763, SB590885, Shikonin, SL.0101.1, Sorafenib, S.Trityl.L.cysteine, Sunitinib, Temsirolimus, Thapsigargin, Tipifarnib, TW.37, Vinblastine, Vinorelbine, Vorinostat, VX.680, VX.702, WH.4.023, WO2009093972, WZ.1.84, X17.AAG, X681640, XMD8.85, Z.LLNle.CHO, ZM.447439.}

\item{tissueType}{Specify if you would like to traing the models on only a subset of the CGP cell lines (based on the tissue type from which the cell lines originated). This be one any of "all" (for everything, default option), "allSolidTumors" (everything except for blood), "blood", "breast", "CNS", "GI tract" ,"lung", "skin", "upper aerodigestive"}

\item{dataset}{The dataset from which you wish to build the predictive models. Default is "cgp2012", also available "cgp2016", comming soon "ctrp".}

}

\value{

a list with two entries, trainDataOrd the ordered expression data and ic50sOrd the drug sensitivity data.

}

\description{

Given a drug and tissue type, return CGP expression and drug sensitivity data.

}

\author{

Paul Geeleher, Nancy Cox, R. Stephanie Huang

}

\keyword{internal}