simulated_datasets: Example of output from simulateDataset function

In MSstatsSampleSize: Simulation tool for optimal design of high-dimensional MS-based proteomics experiment

Description

It is the output of simulateDataset function with two inputs: OV_SRM_train and OV_SRM_train_annotation. The list should include the required elements as below.

Usage

simulated_datasets

Format

A list with eight elements

Details

• num_proteins : the number of simulated proteins

• num_samples : a vector with the number of simulated samples in each condition

• simulation_train_Xs : the list of simulated protein abundance matrices. Each element of the list represents one simulation

• simulation_train_Ys : the list of simulated condition vectors(simulation_train_Xs). Each element of the list represents one simulation

• input_X : the input protein abundance matrix ‘OV_SRM_train’.

• input_Y : is the condition vector for the input ‘OV_SRM_train’.

• valid_X: the validation protein abundance matrix, which is used for classification

• valid_Y : the condition vector of validation samples (valid_X)

Examples

simulated_datasets$num_proteins
simulated_datasets$num_samples
head(simulated_datasets$simulation_train_Xs[[1]])
head(simulated_datasets$simulation_train_Ys[[1]])

MSstatsSampleSize documentation built on Nov. 8, 2020, 4:53 p.m.