rewire.it
Configuration

UNI

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

10 evaluations · 10 metric rows

Overview

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

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

Evaluations and results

Release 2026-09-17-134cd1815de8 · 10 evaluations · 10 metric rows. Different protocols are not a single leaderboard. Where several source tables report the same metric, the published comparisons above offer a pooled view that names what it does not hold constant.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
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.

Author-reported evaluation · Evaluation metadata: source checked

0.186 ±0.05 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.05

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.147 ±0.05 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.05

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.051 ±0.00 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.00

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.502 ±0.06 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.06

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.511 ±0.03 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.03

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.234 ±0.05 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.05

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.424 ±0.06 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.06

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.357 ±0.00 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.00

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.162 ±0.08 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.08

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

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.

Author-reported evaluation · Evaluation metadata: source checked

0.613 ±0.02 pearson_r

Unit: correlation · Direction: higher

Uncertainty: type: standard deviation; value: 0.02

Scored: Not reported · Eligible: Not reported

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

Source checking is not independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

0 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-134cd1815de8
Property and statementOriginal source and locationReview and provenance

No evidence rows match these filters. Choose another scope or clear the search.

Sources and history

Release 2026-09-17-134cd1815de8 · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: hest-method-uni

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

Suggest a correction