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

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:

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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