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.
- Version0.1.6
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release11/18/2022
Team
Chiranjib Sarkar
Rajender Parsad
Show author detailsRolesAuthorDipayan Sarkar
Dwijesh Mishra
Insights
Last 30 days
This package has been downloaded 195 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,558 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 23, 2024 with 28 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports4 packages
- Suggests1 package