Package: EGRNi 0.1.6

EGRNi: Ensemble Gene Regulatory Network Inference

Gene regulatory network constructed using combined score obtained from individual network inference method. The combined score measures the significance of edges in the ensemble network. Fisher's weighted method has been implemented to combine the outcomes of different methods based on the probability values. The combined score follows chi-square distribution with 2n degrees of freedom. <doi:10.22271/09746315.2020.v16.i3.1358>.

Authors:Chiranjib Sarkar [aut, cre, ctb], Dipayan Sarkar [aut], Rajender Parsad [aut], Dwijesh Mishra [aut]

EGRNi_0.1.6.tar.gz
EGRNi_0.1.6.zip(r-4.7-any)EGRNi_0.1.6.zip(r-4.6-any)EGRNi_0.1.6.zip(r-4.5-any)
EGRNi_0.1.6.tgz(r-4.6-any)EGRNi_0.1.6.tgz(r-4.5-any)
EGRNi_0.1.6.tar.gz(r-4.7-any)EGRNi_0.1.6.tar.gz(r-4.6-any)
EGRNi_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EGRNi/json (API)

# Install 'EGRNi' in R:
install.packages('EGRNi', repos = c('https://chiranjibsbioinfo.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Edgescore - Edge score obtained from 4 different methods for Ensemble Gene Regulatory Network Inference
  • gene_exp - Gene expression data for Ensemble Gene Regulatory Network Inference
  • pvalue - Probability values for Ensemble Gene Regulatory Network Inference
  • weight - Weights for Ensemble Gene Regulatory Network Inference

On CRAN:

Conda:

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

1.18 score 15 scripts 330 downloads 12 exports 28 dependencies

Last updated from:07b2e2ed77. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK118
source / vignettesOK180
linux-releaseOK118
macos-releaseOK174
macos-oldrelOK231
windows-develOK81
windows-releaseOK98
windows-oldrelOK70
wasm-releaseOK86

Exports:CRNEdg2FwEdgescoreEGRNF_scoregene_expIntsctEdg2FwPCNPLSNpvalueRidgNweight

Dependencies:bitbit64clicliprcpp11crayonfdrtoolgdatagluegtoolshmslifecyclemagrittrMASSpillarpkgconfigprettyunitsprogressR6readrrlangtibbletidyselecttzdbutf8vctrsvroomwithr