Package: NPARC 1.19.0

Nils Kurzawa

NPARC: Non-parametric analysis of response curves for thermal proteome profiling experiments

Perform non-parametric analysis of response curves as described by Childs, Bach, Franken et al. (2019): Non-parametric analysis of thermal proteome profiles reveals novel drug-binding proteins.

Authors:Dorothee Childs, Nils Kurzawa

NPARC_1.19.0.tar.gz
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NPARC.pdf |NPARC.html
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NEWS

# Install 'NPARC' in R:
install.packages('NPARC', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:NPARC-1.19.0(bioc 3.21)NPARC-1.18.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

softwareproteomics

5.36 score 38 scripts 212 downloads 6 mentions 5 exports 32 dependencies

Last updated 2 months agofrom:6cd65a155d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-winOKDec 22 2024
R-4.5-linuxOKDec 22 2024
R-4.4-winOKDec 22 2024
R-4.4-macOKDec 22 2024
R-4.3-winOKDec 22 2024
R-4.3-macOKDec 22 2024

Exports:fitSingleSigmoidgetParamsNPARCfitNPARCtestrunNPARC

Dependencies:backportsBHBiocParallelbroomclicodetoolscpp11dplyrfansiformatRfutile.loggerfutile.optionsgenericsgluelambda.rlifecyclemagrittrMASSpillarpkgconfigpurrrR6rlangsnowstringistringrtibbletidyrtidyselectutf8vctrswithr

Analysing thermal proteome profiling data with the NPARC package

Rendered fromNPARC.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-12-24
Started: 2019-12-24