HNSC
Features
Inference
Manifest
Tiling
Training
Stage Summary
Pipeline status at a glance
Pipeline
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FeaturesEncoders detected: gigapath_ft (484 files), h-optimus-0 (484 files), prov-gigapath (484 files), uni (484 files), virchow (484 files), virchow2 (484 files)
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Inference640 prediction(s) · 35 positive label(s) · dataset tcga
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Manifest485 rows, 12 columns
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TilingTiling manifest covers 484 case(s)
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Training80 training run(s)
Case Summary
Track cohort coverage by encoder
Cohort
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Total cases485
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Tiling completed485
Cases
Inspect case-level tiles and encoders
Cases
Manifest Overview
Preview the manifest and target distribution
Manifest
Target: HRAS_BINARY
Target: HRAS
Target: PIK3CA_BINARY
Target: PIK3CA
| slide_id | HRAS_binary | DMP_ASSAY_ID | split_1 | split_2 | split_3 | split_4 | split_5 | HRAS | PIK3CA_binary | PIK3CA |
|---|---|---|---|---|---|---|---|---|---|---|
| P-0000227-T01-IM3 | 0 | P-0000227-T01-IM3 | test | train | train | test | train | Negative | 0 | Negative |
| P-0000277-T02-IM6 | 0 | P-0000277-T02-IM6 | test | train | train | test | test | Negative | 0 | Negative |
| P-0000284-T01-IM3 | 0 | P-0000284-T01-IM3 | test | train | train | train | train | Negative | 0 | Negative |
| P-0000319-T01-IM3 | 0 | P-0000319-T01-IM3 | train | train | train | test | train | Negative | 0 | Negative |
| P-0000396-T01-IM3 | 0 | P-0000396-T01-IM3 | train | train | test | test | train | Negative | 0 | Negative |
Cross-Validation Performance
Compare experiments across validation splits
Validation
Validation split counts
Encoder groups
Training Runs
Artifacts and metrics for each experiment
Experiments
| Model | Target | Aggregator | Split | Epoch 200 | Macro AUC | Macro BER | Macro FPR | Macro FNR | Artifact | CV Plots |
|---|---|---|---|---|---|---|---|---|---|---|
| h-optimus-0 | PIK3CA | GMA PUB | split_3 | 120 | 0.5996240601503761 | 0.4981203007518797 | 0.0676691729323308 | 0.9285714285714286 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_4 | 120 | 0.5603354978354977 | 0.474025974025974 | 0.0909090909090909 | 0.8571428571428571 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_3 | 120 | 0.6660848549946293 | 0.4492481203007519 | 0.112781954887218 | 0.7857142857142857 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_1 | 120 | 0.621969696969697 | 0.4431818181818182 | 0.053030303030303 | 0.8333333333333334 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_4 | 120 | 0.5603354978354977 | 0.474025974025974 | 0.0909090909090909 | 0.8571428571428571 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_2 | 120 | 0.6341991341991342 | 0.4918831168831169 | 0.0909090909090909 | 0.8928571428571429 | cumulative_results.csv |
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| h-optimus-0 | PIK3CA | GMA PUB | split_3 | 120 | 0.5996240601503761 | 0.4981203007518797 | 0.0676691729323308 | 0.9285714285714286 | cumulative_results.csv |
|
| h-optimus-0 | PIK3CA | GMA PUB | split_5 | 120 | 0.5725071225071225 | 0.4978632478632478 | 0.1111111111111111 | 0.8846153846153846 | cumulative_results.csv |
|
| h-optimus-0 | PIK3CA | GMA PUB | split_4 | 120 | 0.5936147186147186 | 0.4318181818181818 | 0.1136363636363636 | 0.75 | cumulative_results.csv |
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| h-optimus-0 | PIK3CA | GMA PUB | split_5 | 120 | 0.5725071225071225 | 0.4978632478632478 | 0.1111111111111111 | 0.8846153846153846 | cumulative_results.csv |
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| h-optimus-0 | PIK3CA | GMA PUB | split_2 | 120 | 0.6195887445887445 | 0.4599567099567099 | 0.0984848484848484 | 0.8214285714285714 | cumulative_results.csv |
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| h-optimus-0 | PIK3CA | GMA PUB | split_1 | 120 | 0.591540404040404 | 0.471969696969697 | 0.1439393939393939 | 0.8 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_5 | 120 | 0.5427350427350428 | 0.5089743589743589 | 0.1333333333333333 | 0.8846153846153846 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_3 | 120 | 0.6660848549946293 | 0.4492481203007519 | 0.112781954887218 | 0.7857142857142857 | cumulative_results.csv |
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| h-optimus-0 | PIK3CA | GMA PUB | split_2 | 120 | 0.6195887445887445 | 0.4599567099567099 | 0.0984848484848484 | 0.8214285714285714 | cumulative_results.csv |
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| h-optimus-0 | PIK3CA | GMA PUB | split_1 | 120 | 0.591540404040404 | 0.471969696969697 | 0.1439393939393939 | 0.8 | cumulative_results.csv |
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| h-optimus-0 | PIK3CA | GMA PUB | split_4 | 120 | 0.5936147186147186 | 0.4318181818181818 | 0.1136363636363636 | 0.75 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_2 | 120 | 0.6341991341991342 | 0.4918831168831169 | 0.0909090909090909 | 0.8928571428571429 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_1 | 120 | 0.621969696969697 | 0.4431818181818182 | 0.053030303030303 | 0.8333333333333334 | cumulative_results.csv |
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| gigapath_ft | PIK3CA | GMA PUB | split_5 | 120 | 0.5427350427350428 | 0.5089743589743589 | 0.1333333333333333 | 0.8846153846153846 | cumulative_results.csv |
External Inference Diagnostics
Interactive ROC/PR curves for each external inference experiment
Inference
Encoder groups