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
| Maintainer | Nick Borcherding <ncborch@gmail.com> |
| Author | Nick Borcherding [aut, cre, cph], Qile Yang [ctb] (ORCID: <https://orcid.org/0009-0005-0148-2499>) |
| License | MIT + file LICENSE |
| URL | https://github.com/BorchLab/immApex/ |
| Bug Reports | https://github.com/BorchLab/immApex/issues |
| Downloads rank | 505 |
| Source branch | RELEASE_3_23 |
| biocViews | Annotation, 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