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>.

Version: 0.1.6
Depends: R (≥ 3.5.0)
Imports: fdrtool, gdata, MASS, readr, stats
Suggests: testthat (≥ 3.0.0)
Published: 2022-11-18
DOI: 10.32614/CRAN.package.EGRNi
Author: Chiranjib Sarkar ORCID iD [aut, cre, ctb], Dipayan Sarkar ORCID iD [aut], Rajender Parsad [aut], Dwijesh Mishra ORCID iD [aut]
Maintainer: Chiranjib Sarkar <cschiranjib9 at>
License: GPL-3
NeedsCompilation: no
CRAN checks: EGRNi results


Reference manual: EGRNi.pdf


Package source: EGRNi_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): EGRNi_0.1.6.tgz, r-oldrel (arm64): EGRNi_0.1.6.tgz, r-release (x86_64): EGRNi_0.1.6.tgz, r-oldrel (x86_64): EGRNi_0.1.6.tgz


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