Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided here in a single data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98) and postbomb curves. Also provided are functions to copy the curves into memory, and to plot the curves and their underlying data, as well as functions to calibrate radiocarbon dates.

person("Maarten", "Blaauw", email = "maarten.blaauw@qub.ac.uk", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5680-1515")))
Author: Maarten Blaauw [aut, cre] (<https://orcid.org/0000-0002-5680-1515>)

Title: Integrated Data Analysis via Clustering
Maintainer: Marijke Van Moerbeke <marijke.vanmoerbeke@uhasselt.be>
Description: Several integrative data methods in which information of objects from different data sources can be combined are included in the IntClust package. As a single data source is limited in its point of view, this provides more insight and the opportunity to investigate how the variables are interconnected. Clustering techniques are to be applied to the combined information. For now, only agglomerative hierarchical clustering is implemented. Further, differential gene expression and pathway analysis can be conducted on the clusters. Plotting functions are available to visualize and compare results of the different methods.
Imports: ade4,a4Core, Biobase, cluster, plotrix, plyr, gplots,
Suggests: MLP, biomaRt, org.Hs.eg.db, a4Base

Title: Integration of Multiple Data Sets with Clustering Techniques

Title: Integration of Omics Data Using Linear Modeling
person("Jalal", "Siddiqui", email = "Jalal.Siddiqui@osumc.edu", role="aut"),
person("Tara", "Eicher", email="tara.eicher@nih.gov", role=c("aut", "cre")),
Description: This workflow takes analyte levels from two different types of analytes (e.g. gene expression and metabolite abundance), meta-information on each analyte type, and sample outcome and metadata to identify analyte pairs that are significantly associated with a continuous or discrete outcome (e.g. drug response or tumor type). The following references describe the methods in this package: (1) Jalal K. Siddiqui, et al. (2018) <doi:10.1186/s12859-018-2085-6>, (2) Andrew Patt, et al. (2019) <doi:10.1007/978-1-4939-9027-6_23>.
Imports: ComplexHeatmap, DT, ggplot2, graphics, grDevices, heatmaply,
highcharter, htmltools, KernSmooth, margins, methods, MASS,
RColorBrewer, reshape2, rmarkdown, shiny, shinydashboard,
shinyFiles, shinyjs, stats, testthat, utils