rewirebio.iobenchmarks
Configuration

UNI

Published histology patch encoder whose frozen features the HEST authors scored with a Random Forest regression head.

10 evaluations · 10 results

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

10 evaluations · 10 results. Different protocols are not a single leaderboard.

Sorted by Pearson (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configurationProtocol and datasetPearson
UNIEvaluationHEST-Benchmark SKCM: Gene expression prediction from histology, Skin cutaneous melanoma, HEST-Benchmark SKCM (HEST-Benchmark split)0.613 ±0.02 (best in column)
UNIEvaluationHEST-Benchmark LUNG: Gene expression prediction from histology, Lung, HEST-Benchmark LUNG (HEST-Benchmark split)0.511 ±0.03
UNIEvaluationHEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma, HEST-Benchmark IDC (HEST-Benchmark split)0.502 ±0.06
UNIEvaluationHEST-Benchmark PAAD: Gene expression prediction from histology, Pancreatic adenocarcinoma, HEST-Benchmark PAAD (HEST-Benchmark split)0.424 ±0.06
UNIEvaluationHEST-Benchmark PRAD: Gene expression prediction from histology, Prostate adenocarcinoma, HEST-Benchmark PRAD (HEST-Benchmark split)0.357 ±0.00
UNIEvaluationHEST-Benchmark LYMPH_IDC: Gene expression prediction from histology, Lymph node metastasis of invasive ductal carcinoma, HEST-Benchmark LYMPH_IDC (HEST-Benchmark split)0.234 ±0.05
UNIEvaluationHEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma, HEST-Benchmark CCRCC (HEST-Benchmark split)0.186 ±0.05
UNIEvaluationHEST-Benchmark READ: Gene expression prediction from histology, Rectum adenocarcinoma, HEST-Benchmark READ (HEST-Benchmark split)0.162 ±0.08
UNIEvaluationHEST-Benchmark COAD: Gene expression prediction from histology, Colon adenocarcinoma, HEST-Benchmark COAD (HEST-Benchmark split)0.147 ±0.05
UNIEvaluationHEST-Benchmark HCC: Gene expression prediction from histology, Hepatocellular carcinoma, HEST-Benchmark HCC (HEST-Benchmark split)0.051 ±0.00
All 10 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: UNITask: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma
Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split)
0.186 ±0.05 Pearson
unitless · higher

Uncertainty: SD 0.05

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(CCRCC), column(UNI)
Configuration: UNITask: HEST-Benchmark COAD: Gene expression prediction from histology, Colon adenocarcinoma
Dataset subset: HEST-Benchmark COAD (HEST-Benchmark split)
0.147 ±0.05 Pearson
unitless · higher

Uncertainty: SD 0.05

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark COAD: Gene expression prediction from histology, Colon adenocarcinoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(COAD), column(UNI)
Configuration: UNITask: HEST-Benchmark HCC: Gene expression prediction from histology, Hepatocellular carcinoma
Dataset subset: HEST-Benchmark HCC (HEST-Benchmark split)
0.051 ±0.00 Pearson
unitless · higher

Uncertainty: SD 0.00

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark HCC: Gene expression prediction from histology, Hepatocellular carcinoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(HCC), column(UNI)
Configuration: UNITask: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma
Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split)
0.502 ±0.06 Pearson
unitless · higher

Uncertainty: SD 0.06

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(UNI)
Configuration: UNITask: HEST-Benchmark LUNG: Gene expression prediction from histology, Lung
Dataset subset: HEST-Benchmark LUNG (HEST-Benchmark split)
0.511 ±0.03 Pearson
unitless · higher

Uncertainty: SD 0.03

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark LUNG: Gene expression prediction from histology, Lung

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(LUNG), column(UNI)
Configuration: UNITask: HEST-Benchmark LYMPH_IDC: Gene expression prediction from histology, Lymph node metastasis of invasive ductal carcinoma
Dataset subset: HEST-Benchmark LYMPH_IDC (HEST-Benchmark split)
0.234 ±0.05 Pearson
unitless · higher

Uncertainty: SD 0.05

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark LYMPH_IDC: Gene expression prediction from histology, Lymph node metastasis of invasive ductal carcinoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(LYMPH_IDC), column(UNI)
Configuration: UNITask: HEST-Benchmark PAAD: Gene expression prediction from histology, Pancreatic adenocarcinoma
Dataset subset: HEST-Benchmark PAAD (HEST-Benchmark split)
0.424 ±0.06 Pearson
unitless · higher

Uncertainty: SD 0.06

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark PAAD: Gene expression prediction from histology, Pancreatic adenocarcinoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(PAAD), column(UNI)
Configuration: UNITask: HEST-Benchmark PRAD: Gene expression prediction from histology, Prostate adenocarcinoma
Dataset subset: HEST-Benchmark PRAD (HEST-Benchmark split)
0.357 ±0.00 Pearson
unitless · higher

Uncertainty: SD 0.00

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark PRAD: Gene expression prediction from histology, Prostate adenocarcinoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(PRAD), column(UNI)
Configuration: UNITask: HEST-Benchmark READ: Gene expression prediction from histology, Rectum adenocarcinoma
Dataset subset: HEST-Benchmark READ (HEST-Benchmark split)
0.162 ±0.08 Pearson
unitless · higher

Uncertainty: SD 0.08

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark READ: Gene expression prediction from histology, Rectum adenocarcinoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(READ), column(UNI)
Configuration: UNITask: HEST-Benchmark SKCM: Gene expression prediction from histology, Skin cutaneous melanoma
Dataset subset: HEST-Benchmark SKCM (HEST-Benchmark split)
0.613 ±0.02 Pearson
unitless · higher

Uncertainty: SD 0.02

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

UNI on HEST-Benchmark SKCM: Gene expression prediction from histology, Skin cutaneous melanoma

Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients.

Aggregation: Not reported

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(SKCM), column(UNI)

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: hest-method-uni

areas
cells-tissues
source locator
Table 1, column(UNI)
missing metadata
checkpoint revision: reason: unreported; parameters: reason: unextracted
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