getPAM50: PAM50 prediction via PAMR
In ccchang0111/PAM50: Breast Cancer's PAM50 prediction based on patient's RNA-seq data
Description
After getting the rank values, data will be passed into 'getPAM50' which uses
a trained PAMR model for prediction. This will give a single PAM50 subtype prediction
for each sample, it also provides the prediction probability for all 5 subtypes
per patient.
Usage
1
Arguments
df
dataframe, rows are genes columns are samples. Row names has to be EntrezID.
ccchang0111/PAM50 documentation built on May 31, 2019, 5:40 a.m.
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Description
After getting the rank values, data will be passed into 'getPAM50' which uses a trained PAMR model for prediction. This will give a single PAM50 subtype prediction for each sample, it also provides the prediction probability for all 5 subtypes per patient.
Usage
1 |
Arguments
df |
dataframe, rows are genes columns are samples. Row names has to be EntrezID. |
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.
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