predict_mva: This function uses the trained MVA, in particular gradient...

Description Usage Arguments Value

View source: R/predict_mva.R

Description

This function uses the trained MVA, in particular gradient boosting models, inside the package to assign a probability for the existence of the signature of interest.

Usage

1
predict_mva(input, signame, data, tumor_type = "breast", weight_cf)

Arguments

input

is a data frame that has likelihood cosine similarity and total snv values in it's columns

signame

name of the signature which is being identified

data

determines the sequencing platform see run()

tumor_type

tumor type tag see ?run

Value

a data.frame with a single column with the score of MVA


parklab/SigMA documentation built on Oct. 3, 2020, 9:04 a.m.