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

View source: R/predict_mva.R

predict_mvaR Documentation

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.

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

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 Aug. 11, 2024, 8:49 p.m.