--- title: "PACMOSData" output: rmarkdown::html_document: toc: true toc_depth: 2 vignette: > %\VignetteIndexEntry{PACMOSData} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ## Overview `PACMOSData` is an ExperimentHub data package providing reference datasets for PACMOS analyses of MESOMICS and lungNENomics cohorts. The package contains metadata and access utilities for: * MESOMICS reference datasets * lungNENomics reference datasets * PACMOS example and test datasets These datasets are intended to support reproducible multi-omics analyses using the `PACMOS` framework. ## Installation ```{r, eval=FALSE} BiocManager::install("PACMOSData") ``` ## Load package ```{r, eval = FALSE} library(PACMOSData) ``` ## Available datasets ### MESOMICS datasets The following datasets are available for MESOMICS analyses: * `archetypes` : Archetype proportions. * `D_alt_MOFA` : Genomic Alterations. * `D_cnv_MOFA` : Copy Number Alterations. * `D_exprB_MOFA` : Gene expression data. * `D_loh_MOFA` : Loss of heterozygosity. * `D_met.bodB_MOFA` : Methylation gene body regions. * `D_met.enhB_MOFA` : Methylation enhancer regions. * `D_met.proB_MOFA` : Methylation promoter regions. * `MESOMICS_latent_factors` : MOFA latent factors. ### lungNENomics datasets The following datasets are available for lungNENomics analyses: * `Inputs_MOFA` : MOFA input matrices. * `lungNEN_LF_K4_with_label` : Archetype proportions with discrete molecular group classifications. * `lungNEN_LF_K4_without_label` : Archetype proportions without discrete molecular group classifications. * `lungNEN_LFs` : MOFA latent factors. * `lungNEN_sample_label` : Sample IDs with molecular groups. ### Test datasets The package also contains small example datasets used for testing and demonstrating PACMOS workflows: * `lungNEN_test_expr` : Test expression data for lungNENomics cohort. * `MESOMICS_test_expr` : Test expression data for MESOMICS cohort. ## Data access Data resources can be loaded using: ```r library(PACMOSData) mesomics_data <- load_pacmos_data("MESOMICS") lungnen_data <- load_pacmos_data("lungNENomics") test_data <- load_pacmos_data("test") ``` ### Related package The datasets provided in `PACMOSData` are intended for use with the [PACMOS](https://github.com/IARCbioinfo/PACMOS)