Plot options

 

INFO

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

Probe set options

Use
user selected probe set
all probe sets per gene INFO
only JetSet best probe set INFO
Plot beeswarm graph of probe distribution: INFO
Show probe expression in normal tissue: INFO

Restrict analysis to subtypes...

Histology:
Stage:
Grade:
AJCC stage T:
AJCC stage N:
AJCC stage M:
Gender:
Smoking history:
Include in multivariate

Restrict analysis to treatment groups...

Surgery success:
Chemotherapy:
Radiotherapy:


Use selected cohort:

INFO

Cox regression: INFO
 INFO
 INFO
Array quality control: INFO

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 our paper to support further development: Gyorffy B, Surowiak P, Budczies J, Lanczky A. Online survival analysis software to assess the prognostic value of biomarkers using transcriptomic data in non-small-cell lung cancer, PLoS One, 2013 Dec 18;8(12):e82241. doi: 10.1371/journal.pone.0082241.

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