---
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)