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R-ICBioMark rpm build for : OpenSuSE. For other distributions click R-ICBioMark.

Name : R-ICBioMark
Version : 0.1.4 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp154.10.1 Date : 2024-06-08 14:42:07
Group : Development/Libraries/Other Source RPM : R-ICBioMark-0.1.4-lp154.10.1.src.rpm
Size : 3.73 MB
Packager : https://www_suse_com/
Summary : Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers
Description :
Implementation of the methodology proposed in \'Data-driven design of
targeted gene panels for estimating immunotherapy biomarkers\', Bradley
and Cannings (2021) < arXiv:2102.04296>. This package allows the user to
fit generative models of mutation from an annotated mutation dataset,
and then further to produce tunable linear estimators of exome-wide
biomarkers. It also contains functions to simulate mutation annotated
format (MAF) data, as well as to analyse the output and performance of
models.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-ICBioMark-0.1.4-lp154.10.1.x86_64.rpm
     

Provides :
R-ICBioMark
R-ICBioMark(x86-64)

Requires :
R-PRROC
R-R6
R-RColorBrewer
R-Rcpp
R-RcppEigen
R-base
R-cli
R-colorspace
R-dplyr
R-fansi
R-farver
R-foreach
R-generics
R-gglasso
R-ggplot2
R-glmnet
R-glue
R-gtable
R-isoband
R-iterators
R-labeling
R-latex2exp
R-lifecycle
R-magrittr
R-matrixStats
R-munsell
R-pillar
R-pkgconfig
R-purrr
R-rlang
R-scales
R-shape
R-stringi
R-stringr
R-tibble
R-tidyselect
R-utf8
R-vctrs
R-viridisLite
R-withr
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1


Content of RPM :
/usr/lib64/R/library/ICBioMark
/usr/lib64/R/library/ICBioMark/DESCRIPTION
/usr/lib64/R/library/ICBioMark/INDEX
/usr/lib64/R/library/ICBioMark/LICENSE
/usr/lib64/R/library/ICBioMark/Meta
/usr/lib64/R/library/ICBioMark/Meta/Rd.rds
/usr/lib64/R/library/ICBioMark/Meta/data.rds
/usr/lib64/R/library/ICBioMark/Meta/features.rds
/usr/lib64/R/library/ICBioMark/Meta/hsearch.rds
/usr/lib64/R/library/ICBioMark/Meta/links.rds
/usr/lib64/R/library/ICBioMark/Meta/nsInfo.rds
/usr/lib64/R/library/ICBioMark/Meta/package.rds
/usr/lib64/R/library/ICBioMark/NAMESPACE
/usr/lib64/R/library/ICBioMark/NEWS.md
/usr/lib64/R/library/ICBioMark/R
/usr/lib64/R/library/ICBioMark/R/ICBioMark
/usr/lib64/R/library/ICBioMark/R/ICBioMark.rdb
/usr/lib64/R/library/ICBioMark/R/ICBioMark.rdx
/usr/lib64/R/library/ICBioMark/data
/usr/lib64/R/library/ICBioMark/data/Rdata.rdb
/usr/lib64/R/library/ICBioMark/data/Rdata.rds
/usr/lib64/R/library/ICBioMark/data/Rdata.rdx
/usr/lib64/R/library/ICBioMark/help
/usr/lib64/R/library/ICBioMark/help/AnIndex
/usr/lib64/R/library/ICBioMark/help/ICBioMark.rdb
/usr/lib64/R/library/ICBioMark/help/ICBioMark.rdx
/usr/lib64/R/library/ICBioMark/help/aliases.rds
/usr/lib64/R/library/ICBioMark/help/figures
/usr/lib64/R/library/ICBioMark/help/figures/README-example_gen_model-1.png
/usr/lib64/R/library/ICBioMark/help/figures/README-example_predictions-1.png
There is 4 files more in these RPM.

 
ICM