Plot options


Quality control



Enter more genes

Genes selected:

Search for gene

Paste list of probeset IDs

HGU133A and HGU133Aplus2 probe set IDs only. Each new ID must be entered into a new line. Maximum 65 genes are allowed. (example)

Correlation between genes:

Compute Spearman correlation:
Compute Pearson correlation:

For correlation analysis maximal 4 genes are allowed.


Example input for multiple genes:
1007_s_at 1
200000_s_at -1
31637_s_at 0.5
40016_g_at -2

first: normal,
second: gene is inverted,
third: gene has weight,
fourth: gene has weight and is inverted

You can also use following format:
1007_s_at, 1
200000_s_at, -1
31637_s_at, 0.5
40016_g_at, -2

New: correlation of genes

Split patients by
Auto select best cutoff INFO
Trichotomization:  INFO

Probe set options

user selected probe set
all probe sets per gene INFO
only JetSet best probe set INFO
Plot beeswarm graph of probe distribution: INFO
Show probe expression in normal tissue: INFO

Restrict analysis to subtypes...

ER status: (n=3779)
derive ER status from gene expression data: (n=5143)
PR status: (n=1982)
HER2 status: (n=1872)
Intrinsic subtype: (n=5143) INFO
Lymph node status: (n=3720)
Grade: (n=2545)
TP53 status: (n=595)
Pietenpol subtype: (n=1246)

Restrict analysis to selected cohorts...


Please note: the generated p value does not include correction for multiple hypothesis testing by default.

n = number of patients with available clinical data

Please kindly cite our paper to support further development: Gyorffy B, Lanczky A, Eklund AC, Denkert C, Budczies J, Li Q, Szallasi Z. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1809 patients, Breast Cancer Res Treatment, 2010 Oct;123(3):725-31. Copyright © 2009-2019 | Contact