rewire.it
benchmark · task

Cross-dataset single-cell drug response transfer

This paper-specific evaluation tests Cross-dataset single-cell drug response transfer using scXDR transfer scenario 2.

2 evaluations · 2 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 extractedscXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning · Table 2, scXDR row, Scenario 2 column; Table 2, scVI row, Scenario 2 column
InputsscXDR transfer scenario 2scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning · Table 2, scXDR row, Scenario 2 column; Table 2, scVI row, Scenario 2 column
AssessmentAUCscXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning · Table 2, scXDR row, Scenario 2 column; Table 2, scVI row, Scenario 2 column
Recorded split or evaluation settingUnextractedscXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning · Table 2, scXDR row, Scenario 2 column; Table 2, scVI row, Scenario 2 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 outlinescXDR transfer scenario 2. Then: Recorded fitting or scoring procedure. Then: Assess AUCscXDR transfer scenario 2Recorded fitting or scoringprocedureAssess AUC
Read the diagram as text
  1. scXDR transfer scenario 2
  2. Recorded fitting or scoring procedure
  3. Assess AUC
scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning · Table 2, scXDR row, Scenario 2 column; Table 2, scVI row, Scenario 2 column

Evaluation context

The existing paper extraction describes: Single-cell-to-single-cell transfer; source scenario 2. This description is retained with the exact evaluation records; it is not a new protocol reconstruction.

scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning · Table 2, scXDR row, Scenario 2 column; Table 2, scVI row, Scenario 2 column

Tested models and results

Release 2026-09-16-d74d282221a9 · 2 evaluations · 2 metric rows. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
scXDR: Cross-dataset single-cell drug response transfer

Single-cell-to-single-cell transfer; source scenario 2.

Author-reported evaluation · Evaluation metadata: needs review

0.8248 AUC

Unit: unitless · Direction: unknown

Uncertainty: ± 0.1573 standard deviation

Scored: Not reported · Eligible: Not reported

source checkedscXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning · Table 2, scXDR row, Scenario 2 column

Source checking is not independent reproduction.

scVI: Cross-dataset single-cell drug response transfer

Single-cell-to-single-cell transfer; source scenario 2.

Independent external evaluation · Evaluation metadata: needs review

0.6970 AUC

Unit: unitless · Direction: unknown

Uncertainty: ± 0.2463 standard deviation

Scored: Not reported · Eligible: Not reported

source checkedscXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning · Table 2, scVI row, Scenario 2 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-167f08013c270e

Sources and history

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

Download this release
Technical metadata and extraction receipts

Stable ID: reported-task-167f08013c270e

areas
cells-tissues
tasks
Cross-dataset single-cell drug response transfer
entity level
task
version
Not reported
task
Cross-dataset single-cell drug response transfer
scope note
Paper-specific evaluation task; protocol completeness requires further extraction.
missing metadata
protocol version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
Related records

Suggest a correction