Description Format Details Source References Examples
This dataset contains a subset of the gene expression, annotations and clinical data from the NKI datasets (see section details). The subset contains the seven genes introduced by Desmedt et al. 2008
ExpressionSet with 7 features and 337 samples, containing:
exprs(nki7g)
: Matrix containing gene expressions as measured by Agilent technology (dual-channel, oligonucleotides).
fData(nki7g)
: AnnotatedDataFrame containing annotations of Agilent microarray platform.
pData(nki7g)
: AnnotatedDataFrame containing Clinical information of the breast cancer patients whose tumors were hybridized.
experimentalData(nki7g)
: MIAME object containing information about the dataset.
annotation(nki7g)
: Name of the agilent chip.
This dataset represents a subset of the study published by van't Veer et al. 2002 and van de Vijver et al. 2002. The subset contains the genes AURKA (also known as STK6, STK7, or STK15), PLAU (also known as UPA), STAT1, VEGF, CASP3, ESR1, and ERBB2, as introduced by Desmedt et al. 2008. The seven genes represent the proliferation, tumor invasion/metastasis, immune response, angiogenesis, apoptosis phenotypes, and the ER and HER2 signaling, respectively.
nki:
http://www.rii.com/publications/2002/vantveer.html
Laura J. van't Veer, Hongyue Dai, Marc J. van de Vijver, Yudong D. He, Augustinus A.M. Hart, Mao Mao, Hans L. Peterse, Karin van der Kooy, Matthew J. Marton, Anke T. Witteveen, George J. Schreiber, Ron M. Kerkhoven, Chris Roberts, Peter S. Linsley, Rene Bernards and Stephen H. Friend (2002) "Gene expression profiling predicts clinical outcome of breast cancer", Nature, 415:530-536
M. J. van de Vijver, Y. D. He, L. van't Veer, H. Dai, A. M. Hart, D. W. Voskuil, G. J. Schreiber, J. L. Peterse, C. Roberts, M. J. Marton, M. Parrish, D. Atsma, A. Witteveen, A. Glas, L. Delahaye, T. van der Velde, H. Bartelink, S. Rodenhuis, E. T. Rutgers, S. H. Friend and R. Bernards (2002) "A Gene Expression Signature as a Predictor of Survival in Breast Cancer", New England Journal of Medicine, 347(25):1999-2009
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ## load Biobase package
library(Biobase)
## load the dataset
data(breastCancerData)
## show the first 5 columns of the expression data
exprs(nki7g)[ ,1:5]
## show the first 6 rows of the phenotype data
head(pData(nki7g))
## show first 20 feature names
featureNames(nki7g)
## show the experiment data summary
experimentData(nki7g)
## show the used platform
annotation(nki7g)
## show the abstract for this dataset
abstract(nki7g)
|
Loading required package: survival
Loading required package: prodlim
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, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colMeans, colSums, colnames,
dirname, 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,
rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which, which.max, which.min
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
NKI_4 NKI_6 NKI_7 NKI_8 NKI_9
NM_000125 -0.007 0.074 -0.767 -0.820 -0.180
NM_004448 -0.694 -0.462 -0.397 -0.784 -0.395
NM_003600 -0.062 -0.245 -0.504 0.275 -0.247
NM_002658 -0.351 -0.331 0.043 -0.075 0.005
NM_003376 -0.178 -0.051 0.069 0.143 0.193
NM_007315 0.572 -0.387 -0.355 0.363 -0.435
NM_004346 0.040 -0.015 -0.139 0.120 -0.072
samplename dataset series id filename size age er grade pgr her2
NKI_4 NKI_4 NKI NKI 4 NA 2.0 41 1 3 NA NA
NKI_6 NKI_6 NKI NKI 6 NA 1.3 49 1 2 NA NA
NKI_7 NKI_7 NKI NKI 7 NA 2.0 46 0 1 NA NA
NKI_8 NKI_8 NKI NKI 8 NA 2.8 48 0 3 NA NA
NKI_9 NKI_9 NKI NKI 9 NA 1.5 48 1 3 NA NA
NKI_11 NKI_11 NKI NKI 11 NA 2.2 37 1 3 NA NA
brca.mutation e.dmfs t.dmfs node t.rfs e.rfs treatment tissue t.os e.os
NKI_4 0 0 4747 0 4747 0 0 1 4744 0
NKI_6 0 0 4075 0 4075 0 0 1 4072 0
NKI_7 0 0 3703 0 3703 0 0 1 3700 0
NKI_8 0 0 3215 0 3215 0 0 1 3213 0
NKI_9 0 0 3760 0 3760 0 0 1 3757 0
NKI_11 0 0 2120 0 2120 0 0 1 2119 0
[1] "NM_000125" "NM_004448" "NM_003600" "NM_002658" "NM_003376" "NM_007315"
[7] "NM_004346"
Experiment data
Experimenter name: NKI
Laboratory: Divisions of Diagnostic Oncology, Radiotherapy and Molecular Carvinogenesis and Center for Biomedical Genetics, The Netherland Cancer Institute, Amsterdam, The Netherlands.
Contact information: Stephen H. Friend <stephen_friend@merck.com>
Title: Gene expression profiling predicts clinical outcome of breast cancer. A gene-expresion signature as a predictor of survival in breast cancer.
URL: http://www.rii.com/publications/2002/vantveer.html
PMIDs:
Abstract: A 61 word abstract is available. Use 'abstract' method.
[1] "rosetta"
[1] "Van de Vijver et al. 2002 and Laura J. van't Veer 2002. Series of 295 concescutive patients with primary breast carcinomas as having a gene-expression signature associated with either a poor prognosis or a good prognosis. All patients had stage I or II breast cancer and were younger than 53 years old; 151 had lymph-node-negaitve disease, and 144 had lymph-node-positive disease."
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