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iguanamarina
neuroSCC:Bridging Simultaneous Confidence Corridors and PET Neuroimaging
Tools for the structured processing of PET neuroimaging data in preparation for the estimation of Simultaneous Confidence Corridors (SCCs) for one-group, two-group, or single-patient vs group comparisons. The package facilitates PET image loading, data restructuring, integration into a Functional Data Analysis framework, contour extraction, identification of significant results, and performance evaluation. It bridges established packages (e.g., 'oro.nifti') with novel statistical methodologies (e.g., 'ImageSCC') and enables reproducible analysis pipelines, including comparison with Statistical Parametric Mapping ('SPM').
Maintained by Juan A. Arias Lopez. Last updated 6 days ago.
functional-data-analysisneuroimaging-analysispositron-emission-tomography
2 stars 5.38 score
bioc
MsQuality:MsQuality - Quality metric calculation from Spectra and MsExperiment objects
The MsQuality provides functionality to calculate quality metrics for mass spectrometry-derived, spectral data at the per-sample level. MsQuality relies on the mzQC framework of quality metrics defined by the Human Proteom Organization-Proteomics Standards Initiative (HUPO-PSI). These metrics quantify the quality of spectral raw files using a controlled vocabulary. The package is especially addressed towards users that acquire mass spectrometry data on a large scale (e.g. data sets from clinical settings consisting of several thousands of samples). The MsQuality package allows to calculate low-level quality metrics that require minimum information on mass spectrometry data: retention time, m/z values, and associated intensities. MsQuality relies on the Spectra package, or alternatively the MsExperiment package, and its infrastructure to store spectral data.
Maintained by Thomas Naake. Last updated 2 months ago.
metabolomicsproteomicsmassspectrometryqualitycontrolmass-spectrometryqc
7 stars 5.32 score 2 scripts