RNAseqNet
Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation
Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter. The method is fully described in <doi:10.1093/bioinformatics/btx819>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling linux/jammy R-4.5 | RNAseqNet_0.1.5.tar.gz |
1.4 MiB |
0.1.5 |
rolling linux/noble R-4.5 | RNAseqNet_0.1.5.tar.gz |
1.4 MiB |
0.1.5 |
rolling source/ R- | RNAseqNet_0.1.5.tar.gz |
1.3 MiB |
0.1.5 |
latest linux/jammy R-4.5 | RNAseqNet_0.1.5.tar.gz |
1.4 MiB |
0.1.5 |
latest linux/noble R-4.5 | RNAseqNet_0.1.5.tar.gz |
1.4 MiB |
0.1.5 |
latest source/ R- | RNAseqNet_0.1.5.tar.gz |
1.3 MiB |
0.1.5 |
2026-04-26 source/ R- | RNAseqNet_0.1.5.tar.gz |
1.3 MiB |
0.1.5 |
2026-04-23 source/ R- | RNAseqNet_0.1.5.tar.gz |
1.3 MiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | RNAseqNet_0.1.5.zip |
1.4 MiB |
0.1.5 |
2025-04-20 source/ R- | RNAseqNet_0.1.5.tar.gz |
1.3 MiB |