Plot options

 

Use multiple genes

Use list of genes Use mean expression of selected genes
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...

Stage:
Gender:
Race:
Grade:
Mutation burden:
Neoantigen load:

Restrict analysis based on cellular content…

Basophils:
B-cells:
CD4+ memory T-cells:
CD8+ T-cells:
Eosinophils:
Macrophages:
Mesenchymal stem cells:
Natural killer T-cells:
Regulatory T-cells:
Type 1 T-helper cells:
Type 2 T-helper cells:

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: Nagy A, Munkacsy G, Gyorffy B: Pancancer survival analysis of cancer hallmark genes, Scientific Reports, 2021 Mar 15;11(1):6047, https://doi.org/10.1038/s41598-021-84787-5

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