Plot options

 

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

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

Explanation:
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
INFO INFO
INFO INFO

Restrict analysis to subtypes...

Lymph node status: (n=2887)
ER status: (n=2789)
PGR status: (n=2662)
HER2 status: (n=2875)
KI67 status: (n=1360)
Nottingham histologic grade: (n=2917)
PAM50 subtype: (n=2976)

Restrict analysis to selected cohorts...

Endocrine treated: (n=2955)
Chemo treated: (n=2956)

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, https://doi.org/10.1016/j.csbj.2021.07.014

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