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...

Karyotype:
FAB M:
Gender:
Sample source:
Treatment:

Use following dataset(s) for the analysis...

Dataset:

Restrict analysis to selected cohorts...

IDH1 mutation:
IDH2 mutation:
NPM1 mutation:
CEBPA mutation:
FLT3 internal tandem duplication mutation:
FLT3 tyrosine kinase domain mutation:
NRAS mutation:
KRAS mutation:
EVI1 expression:

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

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Please kindly cite our latest 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.

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Invert HR values below 1:
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