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evaluation · needs review

scLLMDA: Cross-platform scATAC cell-type annotation

Evaluation procedure

Cross-platform reference-query cell-type annotation.

Model
scLLMDA
Benchmark
Cross-platform scATAC cell-type annotation
Dataset
MosA1 reference → WholeBrainA query
origin
Author-reported evaluation
configuration
Not reported
protocol id
Not reported
dataset version
Not reported
split
Not reported
population
Not reported
inputs
Not reported
adaptation
Not reported
metric implementation
Not reported
aggregation
Not reported
budget
Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Evaluation results

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
scLLMDA: Cross-platform scATAC cell-type annotation

Cross-platform reference-query cell-type annotation.

Author-reported evaluation · Evaluation metadata: needs review

0.6525 F1

Unit: unitless · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedCell type annotation for scATAC-seq via DNA large language model and graph domain adaptation · Table 2, scLLMDA row, Ref: MosA1 / Q: WholeBrainA F1 column

Source checking is not independent reproduction.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: needs review

Download this release
Technical metadata and extraction receipts

Stable ID: evaluation-lit-b3-005

areas
cells-tissues
tasks
Cross-platform scATAC cell-type annotation
origin
author_reported
protocol
Cross-platform reference-query cell-type annotation.
version
Not reported
comparison
protocol id: Not reported; dataset version: Not reported; split: Not reported; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata
model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
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