MLL: MLL
In VanAndelInstitute/bifurcatoR: Hunt for bumps in high-dimensional (or low-dimensional!) data
MLL R Documentation
MLL
Description
Data from MLL-rearranged pediatric AML patients in COG clinical trials.
AgeGroup, Sex, FAB, BlastPercent, fusion, OS, OSI, and Protocol are clinical.
MECOM, PRDM16, CD33, CD34, NCAM1, and KDM5D are log-normalized mRNA CPMs
(counts per million reads) for six genes, some of which are informative about
clinical outcomes (see vignette for more details).
Usage
data(MLL)
Format
A data.frame
Examples
data(MLL)
library(mixR)
MLLfit <- mixfit(MLL$MECOM, ncomp=2)
plot(MLLfit, xlab="log(MECOM transcripts)")
VanAndelInstitute/bifurcatoR documentation built on Oct. 13, 2024, 6:29 p.m.
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| MLL | R Documentation |
MLL
Description
Data from MLL-rearranged pediatric AML patients in COG clinical trials. AgeGroup, Sex, FAB, BlastPercent, fusion, OS, OSI, and Protocol are clinical. MECOM, PRDM16, CD33, CD34, NCAM1, and KDM5D are log-normalized mRNA CPMs (counts per million reads) for six genes, some of which are informative about clinical outcomes (see vignette for more details).
Usage
data(MLL)
Format
A data.frame
Examples
data(MLL)
library(mixR)
MLLfit <- mixfit(MLL$MECOM, ncomp=2)
plot(MLLfit, xlab="log(MECOM transcripts)")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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