b57054c63c
-- For very large whole genome datasets with over 2M variants overlapping the training data randomly downsample the training set that gets used to build the Gaussian mixture model. -- Annotations are ordered by the difference in means between known and novel instead of by their standard deviation. -- Removed the training set quality score threshold. -- Now uses 2 gaussians by default for the negative model. -- Num bad argument has been removed and the cutoffs are now chosen by the model itself by looking at the LOD scores. -- Model plots are now generated much faster. -- Stricter threshold for determining model convergence. -- All VQSR integration tests change because of these changes to the model. -- Add test for downsampling of training data. |
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| licensing | ||
| protected | ||
| public | ||
| settings | ||
| .gitignore | ||
| README.md | ||
| build.xml | ||
| intellij_example.tar.bz2 | ||
| ivy.xml | ||