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smartid

Scoring and Marker Selection Method Based on Modified TF-IDF

Bioconductor version: 3.23 · Package version: 1.8.0

Other Bioconductor versions

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

3.24 (devel), 3.23 (release)

This package enables automated selection of group specific signature, especially for rare population. The package is developed for generating specifc lists of signature genes based on Term Frequency-Inverse Document Frequency (TF-IDF) modified methods. It can also be used as a new gene-set scoring method or data transformation method. Multiple visualization functions are implemented in this package.

DOI: 10.18129/B9.bioc.smartid

Installation

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

BiocManager::install("smartid")

Details

MaintainerJinjin Chen <chen.j@wehi.edu.au>
AuthorJinjin Chen [aut, cre] (ORCID: <https://orcid.org/0000-0001-7923-5723>)
LicenseMIT + file LICENSE
URLhttps://davislaboratory.github.io/smartid
Bug Reportshttps://github.com/DavisLaboratory/smartid/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsGeneExpression, Software, Transcriptomics
Package Short Url https://bioconductor.org/packages/smartid/

Citation

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

Jinjin Chen. smartid: Scoring and Marker Selection Method Based on Modified TF-IDF. doi:10.18129/B9.bioc.smartid, R package version 1.8.0, https://bioconductor.org/packages/smartid.

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 packagesmartid_1.8.0.tar.gz
Windows binary (x86_64)smartid_1.8.0.zip
macOS binary (arm64)smartid_1.8.0.tgz
macOS binary (x86_64)smartid_1.8.0.tgz
Dependencies

Depends: R (>= 4.4)

Imports: dplyr, ggplot2, graphics, Matrix, mclust, methods, mixtools, sparseMatrixStats, stats, SummarizedExperiment, tidyr, utils

Suggests: BiocStyle, dbscan, ggpubr, knitr, rmarkdown, scater, splatter, testthat (>= 3.0.0), tibble, tidytext, UpSetR