MidarExperiment-class: S4 Class Representing the MIDAR Dataset

In SLINGhub/SLINGtools: Mass Spectrometry and Lipidomics Data Analysis in R

S4 Class Representing the MIDAR Dataset

Description

Core class to store raw and processed data, annotations and metadata.

Details

Provides also functions to validate data integrity, to perfom normalization and quantitation based on internal standards and to calculate the QC parameters of the experiment

Slots

dataset_orig

Original imported analysis data. Required fields:

dataset

Processed analysis data. Required fields:

dataset_QC_filtered

Processed analysis data. Required fields:

annot_analyses

Annotation of analyses/runs

annot_features

Annotation of measured features.

annot_istd

Annotation of Internal Standard concentrations.

annot_responsecurves

Annotation of Response curves (RQC). Required fields

annot_studysamples

Annotation of study samples. Required fields:

annot_batch_info

Annotation of batches. Required fields:

d_QC

QC information for each measured feature

status_processing

Status within the data processing workflow

SLINGhub/SLINGtools documentation built on April 20, 2023, 5:09 a.m.