Package: SMAD 1.29.0

Qingzhou Zhang

SMAD: Statistical Modelling of AP-MS Data (SMAD)

Assigning probability scores to protein interactions captured in affinity purification mass spectrometry (AP-MS) expriments to infer protein-protein interactions. The output would facilitate non-specific background removal as contaminants are commonly found in AP-MS data.

Authors:Qingzhou Zhang [aut, cre]

SMAD_1.29.0.tar.gz
SMAD_1.29.0.zip(r-4.7)SMAD_1.29.0.zip(r-4.6)SMAD_1.29.0.zip(r-4.5)
SMAD_1.29.0.tgz(r-4.6-x86_64)SMAD_1.29.0.tgz(r-4.6-arm64)SMAD_1.29.0.tgz(r-4.5-x86_64)SMAD_1.29.0.tgz(r-4.5-arm64)
SMAD_1.29.0.tar.gz(r-4.7-arm64)SMAD_1.29.0.tar.gz(r-4.7-x86_64)SMAD_1.29.0.tar.gz(r-4.6-arm64)SMAD_1.29.0.tar.gz(r-4.6-x86_64)
SMAD_1.29.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SMAD/json (API)

# Install 'SMAD' in R:

install.packages('SMAD', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zqzneptune/smad/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

TestDatInput - Test data for SMAD

On BioConductor:SMAD-1.29.0(bioc 3.24)SMAD-1.28.0(bioc 3.23)

massspectrometry proteomics software cpp

5.38 score 6 scripts 4 mentions 5 exports 24 dependencies

Last updated from:8fa6b2450e. Checks:1 WARNING, 13 OK. Indexed: yes.

Target	Result	Time
bioc-checks	WARNING	167
linux-devel-arm64	OK	208
linux-devel-x86_64	OK	195
source / vignettes	OK	204
linux-release-arm64	OK	230
linux-release-x86_64	OK	233
macos-release-arm64	OK	106
macos-release-x86_64	OK	252
macos-oldrel-arm64	OK	96
macos-oldrel-x86_64	OK	364
windows-devel	OK	120
windows-release	OK	124
windows-oldrel	OK	124
wasm-release	OK	164