GWAS Incorporating Networks
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘martini’ version 1.28.0
Help Pages
| get_GI_network | Get gene-interaction network. |
| get_GM_network | Get gene membership network. |
| get_GS_network | Get genomic sequence network |
| gwas2bed | Converts a MAP data.frame to a BED data.frame |
| ldweight_edges | Include linkage disequilibrium information in the network. |
| maxflow | Maxflow algorithm |
| mincut_c | Min-cut algorithm |
| minigwas | Description of the minigwas dataset. |
| minippi | PPIs for the minigwas dataset. |
| minisnpMapping | Genes for the minigwas dataset. |
| plot_ideogram | Ideogram of SConES results. |
| scones | Find connected explanatory SNPs |
| scones.cv | Find connected explanatory SNPs. |
| scones.cv_ | Find connected explanatory features |
| scones_ | Find connected explanatory features |
| search_cones | Find connected explanatory SNPs. |
| sigmod | Find connected explanatory SNPs |
| sigmod.cv | Find connected explanatory SNPs. |
| sigmod.cv_ | Find connected explanatory features |
| sigmod_ | Find connected explanatory features |
| simulate_causal_snps | Simulate causal SNPs |
| simulate_phenotype | Simulate phenotype |
| subvert | Vertices with an attribute |
| wrap_Xy | Make pseudo SnpMatrix object |