Description Format Author(s) Source Examples
This data set contains the expression levels of four proteins: beta-Actin (ACTB), Caspase 3 (CAS3), Focal adhesion kinase (FAK), and Ornithine decarboxylase (ODC1) from a study that was done to compare protein levels in 14 cell lines from both a “fed” and a “starved” state. There are two files included for beta-Actin, one that was scanned in color (actb) and the other in 16-bit grayscale (actb.gray); all other proteins were scanned in color.
This data set also contains a description of the design used for the reverse-phase protein arrays from this study. Cell lysates were spotted on the array in six-step dilution series. The layout of the array consists of a grid of 6x6 subgrids. The first three rows of a subgrid contain 3 replicates of a cell line. The last three rows contain 3 replicates of another cell line. Each subgrid is replicated on the array 3 times, so that there are a total of 9 replicates per cell line per state. The top part of the array contains the fed cell lines and the bottom part of the array contains the starved cell lines. There is one subgrid on the array that contains only buffer material and another subgrid that did not have anything printed (blank). There are a total of 18 spots each of buffer and blank material.
The MicroVigene TXT datafiles contain the following columns:
Main Row
Main Col
Sub Row
Sub Col
GeneID
mean_net
mean_total
mean_bkg
bkg_used
mean_dust
median_net
median_total
median_bkg
vol_net
vol_total
vol_bkg
vol_dust
cv_spot
cv_bkg
xcenter
ycenter
area_signal
area_spot
area_bkg
solidity
circularity
roundness
aspect
dustiness
rank
type
The file ‘proteinAssay.tsv’ contains the following columns:
Antibody
Filename
Alias
The file ‘layoutInfo.tsv’ contains the following columns:
Alias
Sample
P. Roebuck proebuck@mdanderson.org
Victor Levin
1 2 3 4 5 6 7 8 | ## Path to raw data directory
extdata.dir <- system.file("extdata", package="SuperCurveSampleData")
rawdata.dir <- file.path(extdata.dir, "rppaTripleData")
rawdata.dir
## Directory Listing
files <- list.files(rawdata.dir, full.names=TRUE)
files
|
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