Pipelines for studying the adaptive immune repertoire of T cells and B cells via network analysis based on receptor sequence similarity. Relate clinical outcomes to immune repertoires based on their network properties, or to particular clusters and clones within a repertoire. Yang et al. (2023) <doi:10.3389/fimmu.2023.1181825>.
Version: 1.0.4 Depends: R (≥ 3.1.0) Imports: Rcpp (≥ 1.0.8), lifecycle, igraph, ggraph, ggplot2, grDevices, utils, Matrix, stats, dplyr, rlang LinkingTo: Rcpp, RcppArmadillo (≥ 0.10.8.0.0) Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-03-03 DOI: 10.32614/CRAN.package.NAIR Author: Brian Neal [aut, cre], Hai Yang [aut], Daniil Matveev [aut], Phi Long Le [aut], Li Zhang [cph, aut] Maintainer: Brian Neal <Brian.Neal at ucsf.edu> License: GPL (≥ 3) URL: https://mlizhangx.github.io/Network-Analysis-for-Repertoire-Sequencing-/, https://github.com/mlizhangx/Network-Analysis-for-Repertoire-Sequencing- NeedsCompilation: yes Materials: README NEWS CRAN checks: NAIR resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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