🧬 MERGE Pathogenicity Prediction
MERGE is the ensemble pathogenicity probability from the coding, splicing, non-coding, or non-SNV model. Its panels contain no AlphaGenome feature because AlphaGenome's official terms do not permit its outputs to be used as training features for machine-learning models.
MERGE-final combines MERGE with a calibrated single-feature AlphaGenome score (0.5 × MERGE + 0.5 × AlphaGenome) and uses its own interpretation bands. If AlphaGenome is unavailable, MERGE-final is reported as unavailable.
AlphaGenome is still fully extracted and displayed below; it feeds MERGE-final only.
ⓘ Note on two features (RTX 3090 hardware limits):
evo2_1b_base is not among the computed features on this deployment, so it is median-imputed from the training distribution.
carbon uses the same SUM log-likelihood-delta scoring as training, but over an 8 192 bp context window instead of the training's 24 576 bp (the larger window exceeds the 24 GB GPU memory).
These two features are therefore approximate; all other features are computed exactly.
Running MERGE model & computing SHAP values…
📊 Extracted Feature Values
(yellow border = missing → imputed)
Evo2 (Local) Results
Evo2 queries the local model with the upstream genomic context to obtain scores. LLR = Reference Score - Variant Score.
Carbon Results
Carbon-3B, served by the local GPU gateway (SNV + non-SNV).