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immApex

Tools for Adaptive Immune Receptor Sequence-Based Machine and Deep Learning

Bioconductor version: 3.23 · Package version: 1.6.0

A set of tools to for machine and deep learning in R from amino acid and nucleotide sequences focusing on adaptive immune receptors. The package includes pre-processing of sequences, unifying gene nomenclature usage, encoding sequences, and combining models. This package will serve as the basis of future immune receptor sequence functions/packages/models compatible with the scRepertoire ecosystem.

Installation

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

BiocManager::install("immApex")

Details

MaintainerNick Borcherding <ncborch@gmail.com>
AuthorNick Borcherding [aut, cre, cph], Qile Yang [ctb] (ORCID: <https://orcid.org/0009-0005-0148-2499>)
LicenseMIT + file LICENSE
URLhttps://github.com/BorchLab/immApex/
Bug Reportshttps://github.com/BorchLab/immApex/issues
Downloads rank505
Source branchRELEASE_3_23
biocViewsAnnotation, Classification, ImmunoOncology, MotifAnnotation, Sequencing, SingleCell, Software

Documentation

Download

Dependencies

Depends: R (>= 4.3.0)

Imports: immReferent, Matrix, matrixStats, methods, Rcpp, SingleCellExperiment, stats, stringr, utils

LinkingTo: Rcpp

Suggests: BiocStyle, dplyr, ggraph, ggplot2, igraph, knitr, markdown, Peptides, randomForest, rmarkdown, scRepertoire, spelling, testthat, tidygraph, viridis

Reverse dependencies

Imports Me (3): Ibex, immLynx, scRepertoire