pval_graph: does survival analysis
In graeberlab/small.cell.project: small.cell.project
Description
Reads file with features(PC's) in columns and samples in rows. And an annotation file.You pick a max # of features. Using caret
runs a prediction iteratively from 2 to max.features. Picks best predictor with least featurs. Returns samples correctly predicted
leaves out those samples incorrectly predicted.
Usage
1
pval_graph(input_folder, output_folder)
Arguments
input_folder
location of survival files
output_folder
the output folder
graeberlab/small.cell.project documentation built on May 12, 2019, 5:16 p.m.
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Description
Reads file with features(PC's) in columns and samples in rows. And an annotation file.You pick a max # of features. Using caret runs a prediction iteratively from 2 to max.features. Picks best predictor with least featurs. Returns samples correctly predicted leaves out those samples incorrectly predicted.
Usage
1 | pval_graph(input_folder, output_folder)
|
Arguments
input_folder |
location of survival files |
output_folder |
the output folder |
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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