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
	Trichotomization :
Survival:		Compute median survival:
Follow up threshold:		Censore at threshold:

Probe set options

Use

	user selected probe set
	all probe sets per gene
	only JetSet best probe set

Plot beeswarm graph of probe distribution:

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)
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...

	systemically untreated patients:
	patients with following systemic treatment:
	endocrine therapy:
	chemotherapy:
	patient cohort similar to SEER prevalences

Use following dataset for the analysis:

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

Display results in new window:

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

Plot line thickness:
Plot text size:
Plot text format:
Plot title:
P-value position:
Legend position:

Remove redundant samples: (n=1386)*

Use array quality control: *
exclude biased arrays (n=7458):
exclude outlier arrays (n=6333):
do not filter for array quality (n=7535):
Check proportional hazards assumption:*
force proportionality assumption:

Perform multivariate analysis for (n=7535):

MKI67:
ESR1:
HER2 (ERBB2):
*Turning off this feature will add a watermark to the KMplot.

Generate high resolution TIFF file:
Invert HR values below 1:
Export plot data as text:

Compute median over entire dataset:
Backward reference:
Use earlier release of the database:

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Use multiple genes

Example

Probe set options

Restrict analysis to subtypes...

Restrict analysis to selected cohorts...