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...

Histology:
Stage:
Grade:
TP53 mutation:
Average CA125 below lower quartile:

Restrict analysis to treatment groups...

Debulk:
Chemotherapy:

Use following dataset(s) for the analysis:

(GSE14764:

)

Array quality control:

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: Gyorffy B: Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer, Geroscience, 2023, doi: 10.1007/s11357-023-00742-4.

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

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