Dataset describing qualities of 58 colon cancer patients
patient.Rd
A number of qualities describing 58 colon cancer patients.
The same patient samples are described in the "microarray
", "SNV
"
and "CNA
" datasets.
Format
A data frame with 5 columns and 58 rows. Each row indicates a different patient sample, with the following columns describing a feature of the sample:
- sex
The sex of the paient, either "male" or "female"
- stage
The stage of the patient's cancer, one of "I", "II", "III", "IV", or NA
- msi
The microsatellite instabiltiy of the cancer, either "MSS" or "MSI-High"
- prop.CAGT
The proportion of C to A or G to T base changes between the sample and reference genome
- prop.CTGA
The proportion of C to T or G to A base changes between the sample and reference genome
- prop.CGGC
The proportion of C to G or G to C base changes between the sample and reference genome
- prop.TAAT
The proportion of T to A or A to T base changes between the sample and reference genome
- prop.TGAC
The proportion of T to G or A to C base changes between the sample and reference genome
- prop.TCAG
The proportion of T to C or A to G base changes between the sample and reference genome
Examples
# use sample to set colour scheme
sex.colours <- replace(as.vector(patient$sex), which(patient$sex == 'male'),'dodgerblue');
sex.colours <- replace(sex.colours, which(patient$sex == 'female'), 'pink');
len <- apply(SNV[1:15], 2, function(x){mutation.count <- length(which(x == 1))});
create.barplot(
# filename = tempfile(pattern = 'Using_patient_dataset', fileext = '.tiff'),
formula = len ~ colnames(SNV[1:15]) ,
data = SNV,
main = 'patient dataset',
xaxis.rot = 45,
ylimits = c(0,30),
yat = seq(0,30,5),
col = sex.colours,
description = 'Barplot created by BoutrosLab.plotting.general'
);