DESCRIPTION

Package: scChIX
Title: Deconvolving Multiplexed Histone Modifications in Single Cells.
Version: 0.0.0.9000
Authors@R: 
    person(given = "Jake",
           family = "Yeung",
           role = c("aut", "cre"),
           email = "jakeyeung@gmail.com",
           comment = c(ORCID = "0000-0003-1732-1559"))
Description: This package implements the scChIX algorithm. It takes single-cell immunotethered data (e.g. scChIC-seq, sortChIC, CUT&RUN, CUT&Tag) 
    generated byincubating with a mixture of two antibodies (e.g. to target two different histone modifications) and deconvolving the multiplexed data to infer 
    multiple antibody-tagged chromatin fragments in single cells. 
    scChIX takes as input two single-cell training datasets, each where the sample was incubated
    by the antibody alone. This allows scChIX to learn the precise relationships between, for example,
    two histone modifications and how those relationships at the single-cell level. 
    This package includes snakemake workflows to process the training datasets, 
    run the statistical model, and demultiplex the double-incubated count matrices. 
    Furthermore, we provide vignettes to demonstrate how to analyze the downstream 
    analysis to visualize the outputs of the statistical model and generate linked
    maps between two histone modifications. 
License: MIT
Encoding: UTF-8
LazyData: true
Suggests: 
    knitr,
    rmarkdown
VignetteBuilder: knitr
Imports: 
    dplyr,
    ggplot2,
    data.table,
    Matrix,
    topicmodels,
    hash,
    umap,
    ggforce,
    parallel
RoxygenNote: 7.1.2