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Add XGBoostGqVariantFilter, a tool to recalibrate GQ #7705
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There's a lot of stuff that I know is wrong here:
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* Added MinGqVariantFilterBase * * loads VCF, pedigree, UCSC genome tract, and truth data * * calculates variant overlap with genome tracts * * forms matrices, tensors, and other helping data for machine learning * * provides for TRAIN and FILTER modes * * provides functions for calculating loss given assigned min GQ values * * computes best estimate of truth data used for training xgboost model * * adds probabilities to VCF as phred-scaled GQ and also logit-scaled SL * Added XGBoostMinGqVariantFilter * * calculates new GQ based on gradient boosting * Added PropertiesTable for loading VCF properties into tensors * Added TractOverlapDetector for computing overlap properties with UCSC genome tracts Training loss is based on weighted combination of heredity and truth data, broken down by variant category.
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* Fix genome track overlap calculations * Get concordance annotations * Changes to help with out-of-memory crashes, better debugging output * Fix GQ and SL calculations to be more standard
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UCSC genome tracts
Training loss is based on weighted combination of heredity and truth
data, broken down by variant category.