Plot options


Quality control



Use multiple genes

Use list of genes Use mean expression of selected genes
Use ratio of two genes Filter by median expression
more genes param


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

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

Restrict analysis to subtypes...

ER status - IHC: (n=5667)
ER status - array: (n=7535)
PR status - IHC: (n=3548)
HER2 status - array: (n=7535)
Subtype - StGallen: (n=7535) INFO
Subtype - PAM50: (n=7535)
Lymph node status: (n=4994)
Grade: (n=4429)
TP53 status: (n=660)
Pietenpol subtype: (n=2041)

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 following paper to support further development: Győrffy B. Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer, Computational and Structural Biotechnology Journal, 2021;19:4101-4109, Copyright © 2009-2023 | Contact | Sitemap