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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 results |
Package source: | NAIR_1.0.4.tar.gz |
Windows binaries: | r-devel: NAIR_1.0.4.zip, r-release: NAIR_1.0.4.zip, r-oldrel: NAIR_1.0.4.zip |
macOS binaries: | r-release (arm64): NAIR_1.0.4.tgz, r-oldrel (arm64): NAIR_1.0.4.tgz, r-release (x86_64): NAIR_1.0.4.tgz, r-oldrel (x86_64): NAIR_1.0.4.tgz |
Old sources: | NAIR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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