getPAM50rank: Convert expression values to Rank
In ccchang0111/PAM50: Breast Cancer's PAM50 prediction based on patient's RNA-seq data
Description
Usage
Arguments
Author(s)
Description
'getPAM50rank(df)' first extracts PAM50 genes based on the EntrezID. Therefore,
the input dataframe 'df' (usually the assayData from expressionSet;
rows are genes, and columns are samples) has to have rownames assigned to
EntrezID (Gene ID). After extracting 50 genes, it will then rank those 50 genes
based on the values per sample, and then finally normalized the rank values
by the number of genes in the dataframe (usually 50 genes) .
Usage
1
Arguments
df
dataframe, rows are genes columns are samples. Row names has to be EntrezID.
Author(s)
Andrew Chang
ccchang0111/PAM50 documentation built on May 31, 2019, 5:40 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Author(s)
Description
'getPAM50rank(df)' first extracts PAM50 genes based on the EntrezID. Therefore, the input dataframe 'df' (usually the assayData from expressionSet; rows are genes, and columns are samples) has to have rownames assigned to EntrezID (Gene ID). After extracting 50 genes, it will then rank those 50 genes based on the values per sample, and then finally normalized the rank values by the number of genes in the dataframe (usually 50 genes) .
Usage
1 |
Arguments
df |
dataframe, rows are genes columns are samples. Row names has to be EntrezID. |
Author(s)
Andrew Chang
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.