ProteomicsSet-class: S4 class to store proteomics experiment data

In zhuchcn/Metabase: Data container, handling, and visualization for high through-put quantitative experiment data.

Description

This is a S4 class inherits from the virtual mSet-class to store the proteomics data. This class acts as a data container for the proteomics data. Once data is cleaned and passed into the class, it is ready to do statistical analysis and visualization.

Slots

conc_table

A conc_table-class object that stores the concentration information from the experiment. The column names should be the feature IDs, and the rownames should be the row IDs. This should be a numeric matrix.

sample_table

A sample_table-class object that stores the sample meta-data information. The row names should be sample IDs and should match the column names of the conc_table.

feature_data

A feature_data-class object that stores the feature infromation during the experiment. The row names should be feature IDs and should match the row names of the conc_table.

experiment_data

A list contains additional experiment information.

Author(s)

Chenghao Zhu

zhuchcn/Metabase documentation built on July 23, 2019, 1:36 p.m.