Package: inferCSN 1.2.5

inferCSN: Inferring Cell-Specific Gene Regulatory Network

Inferring cell-type specific gene regulatory network using sparse regression model from single-cell transcriptomic data.

Authors:Meng Xu [aut, cre]

inferCSN_1.2.5.tar.gz
inferCSN_1.2.5.zip(r-4.7-x86_64)inferCSN_1.2.5.zip(r-4.7-arm64)inferCSN_1.2.5.zip(r-4.6-x86_64)inferCSN_1.2.5.zip(r-4.6-arm64)inferCSN_1.2.5.zip(r-4.5-x86_64)
inferCSN_1.2.5.tgz(r-4.6-x86_64)inferCSN_1.2.5.tgz(r-4.6-arm64)inferCSN_1.2.5.tgz(r-4.5-x86_64)inferCSN_1.2.5.tgz(r-4.5-arm64)
inferCSN_1.2.5.tar.gz(r-4.7-arm64)inferCSN_1.2.5.tar.gz(r-4.7-x86_64)inferCSN_1.2.5.tar.gz(r-4.6-arm64)inferCSN_1.2.5.tar.gz(r-4.6-x86_64)
inferCSN_1.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
inferCSN/json (API)

# Install 'inferCSN' in R:
install.packages('inferCSN', repos = c('https://mengxu98.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mengxu98/infercsn/issues

Pkgdown/docs site:https://mengxu98.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

openblascppopenmp

4.59 score 7 stars 8 scripts 366 downloads 8 exports 14 dependencies

Last updated from:a5e448c15e. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK127
linux-devel-x86_64OK149
source / vignettesOK186
linux-release-arm64OK116
linux-release-x86_64OK126
macos-release-arm64OK106
macos-release-x86_64OK204
macos-oldrel-arm64OK115
macos-oldrel-x86_64OK224
windows-devel-arm64OK220
windows-devel-x86_64OK165
windows-release-arm64OK210
windows-release-x86_64OK137
windows-oldrel-x86_64OK101
wasm-releaseOK93

Exports:filter_sort_matrixfit_greedy_l0fit_greedy_l0_batchinferCSNinfercsn_logonetwork_formatselect_trend_featuressingle_network

Dependencies:callrclilatticeMatrixmgcvnlmeotelpakprocessxpsR6Rcpprlangthisutils

Readme and manuals

Help Manual

Help pageTopics
Inferring Cell-Specific Gene Regulatory NetworkinferCSN-package
Example ground truth dataexample_ground_truth
Example matrix dataexample_matrix
Example meta dataexample_meta_data
Filter and sort a network matrixfilter_sort_matrix
Fit greedy L0 regressionfit_greedy_l0
Fit batched greedy L0 regressionsfit_greedy_l0_batch
inferring cell-type specific gene regulatory networkinferCSN inferCSN,matrix-method inferCSN,sparseMatrix-method
The logo of inferCSNinfercsn_logo
Format a network tablenetwork_format
Print logoprint.infercsn_logo
Select features with significant trendsselect_trend_features
Construct network for single target genesingle_network