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ISLET

Individual-Specific ceLl typE referencing Tool

Bioconductor version: 3.24 · Package version: 1.15.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

ISLET is a method to conduct signal deconvolution for general -omics data. It can estimate the individual-specific and cell-type-specific reference panels, when there are multiple samples observed from each subject. It takes the input of the observed mixture data (feature by sample matrix), and the cell type mixture proportions (sample by cell type matrix), and the sample-to-subject information. It can solve for the reference panel on the individual-basis and conduct test to identify cell-type-specific differential expression (csDE) genes. It also improves estimated cell type mixture proportions by integrating personalized reference panels.

DOI: 10.18129/B9.bioc.ISLET

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ISLET")

Details

MaintainerHao Feng <hxf155@case.edu>
AuthorHao Feng [aut, cre] (ORCID: <https://orcid.org/0000-0003-2243-9949>), Qian Li [aut], Guanqun Meng [aut]
LicenseGPL-2
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, DifferentialMethylation, GeneExpression, RNASeq, Sequencing, Software, Transcription, Transcriptomics
Package Short Url https://bioconductor.org/packages/ISLET/

Citation

From within R, enter citation("ISLET"):

Hao Feng, Qian Li, Guanqun Meng. ISLET: Individual-Specific ceLl typE referencing Tool. doi:10.18129/B9.bioc.ISLET, R package version 1.15.0, https://bioconductor.org/packages/ISLET.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageISLET_1.15.0.tar.gz
Windows binary (x86_64)ISLET_1.15.0.zip
macOS binary (arm64)ISLET_1.15.0.tgz
macOS binary (x86_64)ISLET_1.15.0.tgz
Dependencies

Depends: R (>= 4.2.0), Matrix, parallel, BiocParallel, SummarizedExperiment, BiocGenerics, lme4, nnls

Imports: stats, methods, purrr, abind

Suggests: BiocStyle, knitr, rmarkdown, htmltools, RUnit, dplyr