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

New: correlation of genes

Split patients by
Auto select best cutoff INFO
Trichotomization:  INFO
INFO INFO
INFO INFO

Restrict analysis to subtypes...

Stage:
Gender:
Race:
Grade:
Mutation burden:

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

n = number of patients with available clinical data

Manuscript in submission. In the meantime, please kindly cite our paper to support further development: Nagy Á, Lánczky A, Menyhárt O, Győrffy B: Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets, Scientific Reports, 2018;8:9277 | DOI:10.1038/s41598-018-27521-y

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