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 [aut, cre, ctb], Dipayan Sarkar [aut], Rajender Parsad [aut], Dwijesh Mishra [aut] |
| Maintainer: | Chiranjib Sarkar <cschiranjib9 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EGRNi results |
Documentation:
| Reference manual: | EGRNi.html ,EGRNi.pdf |
Downloads:
| Package source: | EGRNi_0.1.6.tar.gz |
| Windows binaries: | r-devel:EGRNi_0.1.6.zip, r-release:EGRNi_0.1.6.zip, r-oldrel:EGRNi_0.1.6.zip |
| 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 |
Linking:
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