Plot options

 

INFO

Enter more genes

Genes selected:

Search for gene

Paste list of probeset IDs

HGU133A and HGU133Aplus2 probe set IDs only. Each new ID must be entered into a new line. Maximum 65 genes are allowed. (example)

Correlation between genes:

Compute Spearman correlation:
Compute Pearson correlation:

For correlation analysis maximal 4 genes are allowed.

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...

Stage:
Stage T:
Stage N:
Stage M:
Lauren classification:
Differentiation:

Restrict analysis to clinical cohorts...

Gender:
Perforation:
Treatment:
HER2 status: INFO

Use following dataset(s) for the analysis:

 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: Szász AM, Lánczky A, Nagy Á, Förster S, Hark K, Green JE, Boussioutas A, Busuttil R, Szabó A, Győrffy B: Cross-validation of survival associated biomarkers in gastric cancer using transcriptomic data of 1,065 patients, Oncotarget, DOI: 10.18632/oncotarget.10337

KMplot.com Copyright © 2009-2019 | Contact