this is for holding javascript data
Charith Bhagya Karunarathna edited bf_Joint_modeling_methods_Figure__.tex
about 7 years ago
Commit id: 45b2896b7d06efd65594a2e6c2afa93b5a017dee
deletions | additions
diff --git a/bf_Joint_modeling_methods_Figure__.tex b/bf_Joint_modeling_methods_Figure__.tex
index f0e015a..c743484 100644
--- a/bf_Joint_modeling_methods_Figure__.tex
+++ b/bf_Joint_modeling_methods_Figure__.tex
...
{\bf Joint-modeling methods:} Figure
4 3 shows the elastic-net variable inclusion probability (VIP) and the CAVIARBF posterior inclusion probability (PIP) at each SNV. The elastic net selected each SNV for inclusion into the joint regression model for at least one of the 100 re-sampled datasets. Neither method localized the highest signal to the risk region.