get_A_prob: Determines testing patient probability of belonging to the...

In LucaGiudice/Simpati: Pathway-based classifier exploits patient similarity network paradigm

Description

Assumes that the testing patient belongs to the first class, it iterates the Best Friend Connector algorithm to find how much it fits in the representative members of the class

Usage

get_A_prob(tepat, m_sim, m_sim_cl, vars_list, best_direction)

Arguments

tepat	String character of the name of the testing profile
m_sim	Matrix: Original PSN with all the profiles both training and testing
m_sim_cl	Matrix: Clustering PSN of only training profiles
vars_list	Simpati object: List of variables
best_direction	Power info result

Value

A dataframe of information for the profile class prediction, precisely: Atop: the top percentage in which the profile is included AAe: the median of the profile's AA edges DIFFe: the difference beteen the medians of profile's AA and AB edges assumption: the assumption made with the function: ASign: the profile is fake of first and signature class

LucaGiudice/Simpati documentation built on Jan. 27, 2022, 11:42 p.m.