Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
scVI + scANVI
scVI + scANVI is the method recorded for PBMC cell-type classification. This page preserves the configuration reported by scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery.
At a glance
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Recorded dataset | PBMCs-BSscaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery · Table 2, Svi-tools (scVI & scANVI) row, Cell type Accuracy column |
| Model type | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
How it works
Recorded evaluation
The imported evaluation describes this procedure: All features and samples from PBMCs-BS; comparison pipeline combines scVI and scANVI.
scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery · Table 2, Svi-tools (scVI & scANVI) row, Cell type Accuracy columnBenchmarks and results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| scVI + scANVI: PBMC cell-type classification All features and samples from PBMCs-BS; comparison pipeline combines scVI and scANVI. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.939 Cell-type accuracy Unit: unitless · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedscaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery · Table 2, Svi-tools (scVI & scANVI) row, Cell type Accuracy column Source checking is not independent reproduction. |
Strengths and limitations
Limitations and conditions
- This is an evidence-limited profile. The recorded evaluation context does not establish performance on other datasets or configurations.scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery · Table 2, Svi-tools (scVI & scANVI) row, Cell type Accuracy column
Profile review details
Reviewed the existing release record, its source pointer and linked evaluation context. This is not a fresh full-text architecture review or independent reproduction; numerical review status is unchanged.
Stable record: reported-model-1be5c4b7c52a41Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery · Original source · version of record
Technical metadata and extraction receipts
Stable ID: reported-model-1be5c4b7c52a41
- areas
- cells-tissues
- entity level
- method
- version
- Not reported
- reported name
- scVI + scANVI
- missing metadata
- version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract