Plot options

 

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 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.

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Please kindly cite following paper to support further development: Nagy A, Munkacsy G, Gyorffy B: Pancancer survival analysis of cancer hallmark genes, Sci Rep., 2021 Mar 15;11(1):6047, https://doi.org/10.1038/s41598-021-84787-5

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