neuroblastomaProcessed: Processed neuroblastoma data set with features and targets

Description Usage Format

Description

Features are inputs and targets are outputs for penalty learning functions like penaltyLearning::IntervalRegressionCV. data(neuroblastoma, package="neuroblastoma") was processed by computing optimal Gaussian segmentation models from 1 to 20 segments (cghseg:::segmeanCO or Segmentor3IsBack::Segmentor), then label error was computed using neuroblastoma$annotations (penaltyLearning::labelError), then target intervals were computed (penaltyLearning::targetInterval). Features were also computed based on neuroblastoma$profiles.

Usage

1
data("neuroblastomaProcessed")

Format

List of two matrices: feature.mat is n.observations x n.features, and target.mat is n.observations x 2, where n.observations=3418 and n.features=117.


penaltyLearning documentation built on July 1, 2020, 10:26 p.m.