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TCGA-PCPG

Last updated 2026-02-04 16:27 · Cached 2026-02-08 16:59

Features Inference Manifest Tiling Training

Stage Summary Pipeline status at a glance Pipeline

Features
Encoders detected: gigapath_ft (196 files, 176 with labels), h-optimus-0 (196 files, 176 with labels), prov-gigapath (196 files, 176 with labels), uni (196 files, 176 with labels), virchow (196 files, 176 with labels), virchow2 (196 files, 176 with labels)
Inference
260 prediction(s) · 25 positive label(s) · dataset tcga
Manifest
176 rows, 13 columns
Tiling
Tiling manifest covers 196 case(s), 176 with labels
Training
90 training run(s)

Case Summary Track cohort coverage by encoder Cohort

Cases Inspect case-level tiles and encoders Cases

Manifest Overview Preview the manifest and target distribution Manifest

Download CSV

176 rows · 9 columns

Target: HRAS_BINARY Target: HRAS

slide_id	HRAS_binary	DMP_ASSAY_ID	split_1	split_2	split_3	split_4	split_5	HRAS
TCGA-P7-A5NX_TCGA-P7-A5NX-01Z-00-DX1	0	TCGA-P7-A5NX_TCGA-P7-A5NX-01Z-00-DX1	test	train	train	train	train	Negative
TCGA-P7-A5NY_TCGA-P7-A5NY-01Z-00-DX1	0	TCGA-P7-A5NY_TCGA-P7-A5NY-01Z-00-DX1	train	test	test	train	train	Negative
TCGA-P8-A5KC_TCGA-P8-A5KC-01Z-00-DX1	0	TCGA-P8-A5KC_TCGA-P8-A5KC-01Z-00-DX1	test	test	train	train	train	Negative
TCGA-P8-A5KD_TCGA-P8-A5KD-01Z-00-DX1	1	TCGA-P8-A5KD_TCGA-P8-A5KD-01Z-00-DX1	test	train	train	train	train	Positive
TCGA-PR-A5PF_TCGA-PR-A5PF-01Z-00-DX1	0	TCGA-PR-A5PF_TCGA-PR-A5PF-01Z-00-DX1	test	train	train	train	train	Negative

Cross-Validation Performance Compare experiments across validation splits Validation

Training Runs Artifacts and metrics for each experiment Experiments

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Model	Target	Aggregator	Split	Epoch 200	Macro AUC	Macro BER	Macro FPR	Macro FNR	Artifact
h-optimus-0	HRAS	GMA PUB	split_5	120	0.526610644257703	0.5392156862745098	0.0784313725490196	1.0	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_2	120	0.4972527472527472	0.5096153846153846	0.0192307692307692	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_1	120	0.6635220125786163	0.4732704402515723	0.1132075471698113	0.8333333333333334	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_2	120	0.5439560439560439	0.5192307692307693	0.0384615384615384	1.0	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_3	120	0.6572327044025157	0.5	0.0	1.0	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_4	120	0.8137254901960784	0.5196078431372549	0.0392156862745098	1.0	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_1	120	0.5817610062893082	0.5566037735849056	0.1132075471698113	1.0	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_5	120	0.495798319327731	0.5490196078431373	0.0980392156862745	1.0	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_4	120	0.6004901960784313	0.5294117647058824	0.0588235294117647	1.0	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_3	120	0.6477987421383649	0.4166666666666667	0.0	0.8333333333333334	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_4	120	0.8137254901960784	0.5196078431372549	0.0392156862745098	1.0	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_1	120	0.5628930817610063	0.4449685534591195	0.0566037735849056	0.8333333333333334	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_4	120	0.7647058823529412	0.4669117647058823	0.0588235294117647	0.875	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_5	120	0.5014005602240896	0.5490196078431373	0.0980392156862745	1.0	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_5	120	0.4789915966386554	0.5392156862745098	0.0784313725490196	1.0	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_3	120	0.889937106918239	0.4261006289308176	0.0188679245283018	0.8333333333333334	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_3	120	0.6886792452830188	0.5094339622641509	0.0188679245283018	1.0	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_3	120	0.6886792452830188	0.5094339622641509	0.0188679245283018	1.0	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_2	120	0.5439560439560439	0.5192307692307693	0.0384615384615384	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_3	120	0.6069182389937107	0.4261006289308176	0.0188679245283018	0.8333333333333334	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_3	120	0.6163522012578616	0.5	0.0	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_5	120	0.5854341736694678	0.5196078431372549	0.0392156862745098	1.0	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_3	120	0.6163522012578616	0.5	0.0	1.0	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_2	120	0.5192307692307692	0.5192307692307693	0.0384615384615384	1.0	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_5	120	0.526610644257703	0.5392156862745098	0.0784313725490196	1.0	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_4	120	0.75	0.5098039215686274	0.0196078431372549	1.0	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_4	120	0.8088235294117647	0.4571078431372549	0.0392156862745098	0.875	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_5	120	0.495798319327731	0.5490196078431373	0.0980392156862745	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_5	120	0.5854341736694678	0.5196078431372549	0.0392156862745098	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_2	120	0.7719780219780219	0.4285714285714285	0.0	0.8571428571428571	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_1	120	0.610062893081761	0.4449685534591195	0.0566037735849056	0.8333333333333334	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_1	120	0.5817610062893082	0.5566037735849056	0.1132075471698113	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_1	120	0.6635220125786163	0.4732704402515723	0.1132075471698113	0.8333333333333334	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_3	120	0.6572327044025157	0.5	0.0	1.0	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_5	120	0.5014005602240896	0.5490196078431373	0.0980392156862745	1.0	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_2	120	0.6483516483516483	0.5384615384615384	0.0769230769230769	1.0	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_4	120	0.6004901960784313	0.5294117647058824	0.0588235294117647	1.0	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_4	120	0.75	0.5098039215686274	0.0196078431372549	1.0	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_1	120	0.6855345911949686	0.3427672955974842	0.0188679245283018	0.6666666666666666	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_2	120	0.7719780219780219	0.4285714285714285	0.0	0.8571428571428571	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_4	120	0.7647058823529412	0.4669117647058823	0.0588235294117647	0.875	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_4	120	0.8088235294117647	0.4571078431372549	0.0392156862745098	0.875	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_2	120	0.4532967032967033	0.5288461538461539	0.0576923076923076	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_3	120	0.6069182389937107	0.4261006289308176	0.0188679245283018	0.8333333333333334	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_2	120	0.4532967032967033	0.5288461538461539	0.0576923076923076	1.0	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_1	120	0.6855345911949686	0.3427672955974842	0.0188679245283018	0.6666666666666666	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_2	120	0.5192307692307692	0.5192307692307693	0.0384615384615384	1.0	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_5	120	0.4733893557422969	0.438375350140056	0.0196078431372549	0.8571428571428571	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_5	120	0.4789915966386554	0.5392156862745098	0.0784313725490196	1.0	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_2	120	0.6483516483516483	0.5384615384615384	0.0769230769230769	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_4	120	0.6740196078431373	0.5294117647058824	0.0588235294117647	1.0	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_1	120	0.710691823899371	0.5094339622641509	0.0188679245283018	1.0	`cumulative_results.csv`
prov-gigapath	HRAS	GMA PUB	split_1	120	0.610062893081761	0.4449685534591195	0.0566037735849056	0.8333333333333334	`cumulative_results.csv`
gigapath_ft	HRAS	GMA PUB	split_1	120	0.5628930817610063	0.4449685534591195	0.0566037735849056	0.8333333333333334	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_3	120	0.6477987421383649	0.4166666666666667	0.0	0.8333333333333334	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_5	120	0.4733893557422969	0.438375350140056	0.0196078431372549	0.8571428571428571	`cumulative_results.csv`
uni	HRAS	GMA PUB	split_1	120	0.710691823899371	0.5094339622641509	0.0188679245283018	1.0	`cumulative_results.csv`
virchow2	HRAS	GMA PUB	split_4	120	0.6740196078431373	0.5294117647058824	0.0588235294117647	1.0	`cumulative_results.csv`
virchow	HRAS	GMA PUB	split_3	120	0.889937106918239	0.4261006289308176	0.0188679245283018	0.8333333333333334	`cumulative_results.csv`
h-optimus-0	HRAS	GMA PUB	split_2	120	0.4972527472527472	0.5096153846153846	0.0192307692307692	1.0	`cumulative_results.csv`

External Inference Diagnostics Interactive ROC/PR curves for each external inference experiment Inference