qmtools - Quantitative Metabolomics Data Processing Tools
The qmtools (quantitative metabolomics tools) package provides basic tools for processing quantitative metabolomics data with the standard SummarizedExperiment class. This includes functions for imputation, normalization, feature filtering, feature clustering, dimension-reduction, and visualization to help users prepare data for statistical analysis. This package also offers a convenient way to compute empirical Bayes statistics for which metabolic features are different between two sets of study samples. Several functions in this package could also be used in other types of omics data.
Last updated 24 days ago
metabolomicspreprocessingnormalizationdimensionreductionmassspectrometry
4.48 score 1 stars 5 scripts 131 downloadsraqs - Interface to the US EPA Air Quality System (AQS) API
Offers functions for fetching JSON data from the US EPA Air Quality System (AQS) API with options to comply with the API rate limits. See <https://aqs.epa.gov/aqsweb/documents/data_api.html> for details of the AQS API.
Last updated 1 years ago
3.18 score 1 packages 4 scripts 199 downloadsLCMSQA - Liquid Chromatography/Mass Spectrometry (LC/MS) Quality Assessment
The goal of 'LCMSQA' is to make it easy to check the quality of liquid chromatograph/mass spectrometry (LC/MS) experiments using a 'shiny' application. This package provides interactive data visualizations for quality control (QC) samples, including total ion current chromatogram (TIC), base peak chromatogram (BPC), mass spectrum, extracted ion chromatogram (XIC), and feature detection results from internal standards or known metabolites.
Last updated 10 months ago
2.70 score 2 scripts 238 downloads