rewire.it
Paper-reported evidence

scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis

2025 · Preprint · preprint archived 2025-08-23

Paper-reported results. The values below come from this source, not an independent rewire.it run.

Open primary paper →DOI: 10.1101/2023.12.07.569910

Primary full text via Europe PMC XML; venue: bioRxiv; PMC ID: PMC12393277.

2 verified numerical rows · source checked 2026-09-15

Paper-reportedCompiled from another paper

Geneformer

Cell-type annotation

Reported score
0.270
Metric
F1
Dataset / split
hPancreas

Zero-shot setting; source caption says some comparator rows come from GenePT.

Table 1, hPancreas zero-shot / Geneformer (z) row, F1 columnVerify at source →
Paper-reportedCompiled from another paper

scGPT

Cell-type annotation

Reported score
0.550
Metric
F1
Dataset / split
hPancreas

Zero-shot setting; source caption says some comparator rows come from GenePT.

Table 1, hPancreas zero-shot / scGPT (z) row, F1 columnVerify at source →