Title: SPatially aUTomatic deNoising for Ims toolKit
Authors@R: c(person("Paolo", "Inglese", email = "p.inglese14@imperial.ac.uk", role = c("aut", "cre")),
person("Goncalo", "Correia", role = c("aut", "ctb")))
Description: A set of tools for the peak filtering of mass spectrometry
imaging data (MSI or IMS) based on spatial distribution of signal. Given a
region-of-interest (ROI), representing the spatial region where the informative signal is expected to be
localized, a series of filters determine which peak signals are characterized by
an implausible spatial distribution. The filters reduce the dataset dimensionality
and increase its information vs noise ratio, improving the quality of the
unsupervised analysis results, reducing data dimensionality and simplifying
Imports: spatstat, autothresholdr, viridis, viridisLite, SDMTools,
ggplot2, reshape, imager, methods, infotheo

Imports: spatstat, autothresholdr, viridis, SDMTools, ggplot2, reshape,

Imports: spatstat, viridis, SDMTools, ggplot2, reshape, imager,

region-of-interest (ROI), representing the spatial region where the informative
signal is expected to be localized, a series of filters determine which peak
signals are characterized by an implausible spatial distribution. The filters
reduce the dataset dimensionality and increase its information vs noise ratio,
improving the quality of the unsupervised analysis results, reducing data
dimensionality and simplifying the chemical interpretation.
Imports: e1071, spatstat, viridis, SDMTools, ggplot2, reshape, imager,
Packaged: 2018-10-25 19:19:19 UTC; paoloinglese

Packaged: 2019-04-16 20:10:09 UTC; paoloinglese

Packaged: 2018-10-23 11:27:44 UTC; paoloinglese

Authors@R: c(person("Paolo", "Inglese", email = "p.inglese@outlook.com", role = c("aut", "cre")),
Imports: e1071, edgeR, spatstat, viridis, ggplot2, reshape, imager,
methods, infotheo, parallel, irlba, testthat

Imports: e1071, edgeR, spatstat, spatstat.core, spatstat.geom,
spatstat.linnet, viridis, ggplot2, reshape, imager, methods,

Imports: e1071, edgeR, spatstat.explore, spatstat.geom, viridis,
ggplot2, reshape, imager, methods, infotheo, parallel, irlba,