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:

Restrict analysis to subtypes...


Anti-PD-1 treatment: (n=797)
Anti-PD-L1 treatment: (n=486)
Anti-CTLA-4 treatment: (n=131)
Sample acquisition:

Restrict analysis to clinical cohorts...

Tumor type:
Gender: (n=1361)

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

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Please kindly cite our paper to support further development: Kovacs SA, Gyorffy B. Transcriptomic datasets of cancer patients treated with immune-checkpoint inhibitors: a systematic review, J Transl Med.2022 May 31;20(1):249. doi: 10.1186/s12967-022-03409-4.

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:

Compute median over entire dataset:
Backward reference:

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Use multiple genes

Example

Restrict analysis to subtypes...

Restrict analysis to clinical cohorts...