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benchmark · task

miRNA-mRNA interaction prediction

This paper-specific evaluation tests miRNA-mRNA interaction prediction using MirTarRAW.

1 evaluations · 1 metric rows

At a glance

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.

Data, procedure and scoring
PropertyDescription and evidence
Record typePaper-specific task; protocol incompletely extractedRetentive Network promotes efficient RNA language modeling of long sequences · Table 1, MirTarRAW / 5-mer RNAret row, F1 column
InputsMirTarRAWRetentive Network promotes efficient RNA language modeling of long sequences · Table 1, MirTarRAW / 5-mer RNAret row, F1 column
AssessmentF1Retentive Network promotes efficient RNA language modeling of long sequences · Table 1, MirTarRAW / 5-mer RNAret row, F1 column
Recorded split or evaluation settingheld-out testRetentive Network promotes efficient RNA language modeling of long sequences · Table 1, MirTarRAW / 5-mer RNAret row, F1 column
DatasetsNot extracted or verified for this record.
OrganismsNot extracted or verified for this record.
AssaysNot extracted or verified for this record.
AdaptationNot extracted or verified for this record.
BaselinesNot extracted or verified for this record.

How it works

Reported evaluation outline

Outline of the existing paper extraction. Split membership, fitting details and scorer implementation remain incompletely reviewed.

Reported evaluation outlineMirTarRAW. Then: Recorded fitting or scoring procedure. Then: Assess F1MirTarRAWRecorded fitting or scoringprocedureAssess F1
Read the diagram as text
  1. MirTarRAW
  2. Recorded fitting or scoring procedure
  3. Assess F1
Retentive Network promotes efficient RNA language modeling of long sequences · Table 1, MirTarRAW / 5-mer RNAret row, F1 column

Evaluation context

The existing paper extraction describes: 5-mer RNAret classifier; 72/8/20 train/validation/test split. This description is retained with the exact evaluation records; it is not a new protocol reconstruction.

Retentive Network promotes efficient RNA language modeling of long sequences · Table 1, MirTarRAW / 5-mer RNAret row, F1 column

Tested models and 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
RNAret: miRNA-mRNA interaction prediction

5-mer RNAret classifier; 72/8/20 train/validation/test split

Author-reported evaluation · Evaluation metadata: needs review

0.9622 F1

Unit: fraction · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedRetentive Network promotes efficient RNA language modeling of long sequences · Table 1, MirTarRAW / 5-mer RNAret row, F1 column

Source checking is not independent reproduction.

Strengths and limitations

Profile review details

Catalogue extraction inspected; protocol claims remain limited to the cited evidence. Missing details are not presumed absent from the original paper.

Stable record: reported-task-46e927bea10702

Sources and history

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

Download this release
Technical metadata and extraction receipts

Stable ID: reported-task-46e927bea10702

areas
rna-transcriptomes
tasks
miRNA-mRNA interaction prediction
entity level
task
version
Not reported
task
miRNA-mRNA interaction prediction
scope note
Paper-specific evaluation task; protocol completeness requires further extraction.
missing metadata
protocol version: not_reported_in_legacy_extract
Related records

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