R: A SELDI-TOF data of 167 breast cancer and normal samples from...
f45cbmk
R Documentation
A SELDI-TOF data of 167 breast cancer and normal samples from the Miron Laboratory
Description
The data consist of 167 SELDI-TOF spectra from either individuals
with breast cancer or without (normal controls). Two covariates
are available. The data have been pre-processed by Ciphergen's
software and the specific details are as follows. The baselines
of the spectra were subtracted using the default parameter
settings of the Ciphergen software, and the spectra were
normalized by the total ion current normalization function of
the Ciphergen software. Peaks were detected with signal to noise
ratio (S/N) above 10. Proto-biomarkers, i.e., peaks in each
spectrum that have the same M/Z value, were detected with the
following parameters: first pass, 10 S/N, min peak threshold
10
pass, 5 S/N, and add estimated peaks to complete clusters and
it is the jointly normalized data that are available here.
The data are presented in the form of an exprSet object.
Usage
data(f45cbmk)
Format
The different covariates are:
GROUP
a character vector with four possible
values, "A", "B", "C" and "D". "A" represents HER2
positive patients, "B" normal healthy patients, "C"
ER/PR positive patients and "D" samples from a single
healthy woman.
SPECTRUM
a character vector, the spectrum id of
each sample.
Source
Alex Miron's Lab at the Dana-Farber Cancer Institute.
References
Shi, Q. et al. Biomarker Discovery in Plasma Using Proteomics Analysis for
Early Detection of Breast Cancer. 2004, manuscript.
Examples
data(f45cbmk)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(ProData)
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/ProData/f45cbmk.Rd_%03d_medium.png", width=480, height=480)
> ### Name: f45cbmk
> ### Title: A SELDI-TOF data of 167 breast cancer and normal samples from
> ### the Miron Laboratory
> ### Aliases: f45cbmk
> ### Keywords: datasets
>
> ### ** Examples
>
> data(f45cbmk)
>
>
>
>
>
> dev.off()
null device
1
>