Model

scGPT

scGPT learns representations of single-cell molecular measurements and supports task-specific adaptation.

Sources (3)

bowang-lab/scGPT: README.md; bowang-lab/scGPT: scgpt/model/model.py; scgpt-may2023: Primary paper PDF · May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row

3 evaluations · 3 results · 3 evaluated configurations using this model

How it worksscGPT workflow

Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.

Sources (3)

Overview

Model type

Generative single-cell transformer

Inputs

Gene-expression measurements with the checkpoint-matched gene vocabulary.

Outputs

Cell/gene representations and task-specific predictions after the relevant workflow.

Access

Official project documentation and implementation: https://github.com/bowang-lab/scGPT

Sources (3)

limited source coverage · Automated source review, 2026-09-23. All specifications and missing details

Evaluations and results

3 evaluations · 3 results. Different protocols are not a single leaderboard.

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: scGPT	Task: Cell-type identification Dataset: M.S. single-cell dataset	0.734 F1-Score unitless · unknown Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source scGPT: Cell-type identification Native scLLM cell-type identification as reported in Table 2. Aggregation: Not reported Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification · Table 2, M.S. / scGPT row, F1-Score column
Configuration: scGPT	Task: Cell-type annotation Dataset: hPancreas	0.55 F1 unitless · unknown Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Result quoted from another source · Source checked Methods, coverage and source scGPT: Cell-type annotation Zero-shot setting; source caption says some comparator rows come from GenePT. Aggregation: Not reported scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis · Table 1, hPancreas zero-shot / scGPT (z) row, F1 column
Configuration: scGPT	Task: Cell-type structure in frozen embeddings Dataset: Aorta single-cell dataset	0.47 Adjusted Rand Index unitless · unknown Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source scGPT: Cell-type structure in frozen embeddings k-means on pretrained cell embeddings; agreement with original cell-type labels. Aggregation: Not reported GenePT: A Simple But Effective Foundation Model for Genes and Cells Built From ChatGPT · Table 2, Aorta / Cell type row, scGPT ARI column

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Related configurations, pipelines and services

These configurations, services and pipelines use this model within their own configurations. Their results, where available, are not assigned to the underlying model.

CPA* (scGPT) Configuration · 8 results
LA (scGPT) Configuration · 8 results
scGPT + residual geometry Pipeline · 1 result

Use this model

How it works, versions and access

Related profile: scGPT. This page retains the exact record and its evaluation context.

Versions and evaluated configurations

scGPT · alias of
scGPT · family
scGPT · family
scGPT · family

How it works

scGPT combines each gene identity with its expression-value encoding before transformer attention. The implementation supports several expression encoders and cell-pooling choices. Task heads then predict expression or cell labels; optional masking and batch objectives depend on the training configuration.

Sources (3)

Versions and reproducibility

The May 2023 preprint reports an early 10M-cell model. The current whole-human checkpoint table reports 33M normal human cells; these sources describe different releases. The applicable input limits require configuration-specific checking.

Sources (3)

Strengths, limitations and unresolved questions

Strengths and limitations

Strengths and considerations

Releases include whole-human and organ-specific checkpoints, with tutorials for reference mapping and other downstream tasks.
Sources (3)
bowang-lab/scGPT: README.md; bowang-lab/scGPT: scgpt/model/model.py; scgpt-may2023: Primary paper PDF · May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row

Limitations and conditions

Checkpoint choice and vocabulary must match the biological context. A whole-human pretrained encoder and a fine-tuned annotation or perturbation model are distinct evaluated configurations.
Sources (3)
bowang-lab/scGPT: README.md; bowang-lab/scGPT: scgpt/model/model.py; scgpt-may2023: Primary paper PDF · May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row

What remains unknown

Training cutoff: The historical corpus date is documented as CELLxGENE 2023-05-08, with a later 2023-05-15 replacement ambiguity. Neither is a verified latest-study date for every trained cell. The archived corpus and evaluated checkpoint must be identified separately.
Parameters: No exact whole-human checkpoint parameter total is stated in the inspected official README, embedding loader or journal supplement. The loader reads architecture settings from the selected checkpoint’s args.json; a family label alone does not identify its weights or task heads.
Weights licence: The inspected official model-zoo download table does not state a separate licence grant for the downloaded whole-human checkpoint. The repository MIT code licence is recorded separately; it is not treated as proof of explicit checkpoint-distribution terms.

Profile review details

Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied.

Stable record: catalog-model-scgpt

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-23. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
Property	Description and evidence
Model type	Generative single-cell transformer Sources (3) bowang-lab/scGPT: README.md; bowang-lab/scGPT: scgpt/model/model.py; scgpt-may2023: Primary paper PDF · May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row
Architecture	Transformer backbone combining learned gene-token embeddings with expression-value encodings and optional batch encodings. Separate expression, cell-classification and optional masked-value or batch-discriminator heads support configured tasks. Sources (3) bowang-lab/scGPT: README.md; bowang-lab/scGPT: scgpt/model/model.py; scgpt-may2023: Primary paper PDF · May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row
Inputs	Gene-expression measurements with the checkpoint-matched gene vocabulary. Sources (3) bowang-lab/scGPT: README.md; bowang-lab/scGPT: scgpt/model/model.py; scgpt-may2023: Primary paper PDF · May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row
Outputs	Cell/gene representations and task-specific predictions after the relevant workflow. Sources (3) bowang-lab/scGPT: README.md; bowang-lab/scGPT: scgpt/model/model.py; scgpt-may2023: Primary paper PDF · May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row
Parameters	No exact whole-human checkpoint parameter total is stated in the inspected official README, embedding loader or journal supplement. The loader reads architecture settings from the selected checkpoint’s args.json; a family label alone does not identify its weights or task heads. · Not reported in inspected sources Sources (3) bowang-lab/scGPT: README.md; scGPT official embedding workflow implementation; scGPT Nature Methods original supplementary information · README Pretrained scGPT Model Zoo; cell_emb.py lines202-247 args.json loading and TransformerModel construction; complete original supplementary PDF inspected for parameter totals.
Known versions	Whole-human, blood, brain, heart, kidney, lung, pan-cancer and additional organ-specific checkpoint folders are listed separately. An evaluation needs its downloaded weights, args.json and vocabulary; current documentation is not an evaluated checkpoint hash. Sources (2) bowang-lab/scGPT: README.md; scGPT official embedding workflow implementation · README Pretrained scGPT Model Zoo; cell_emb.py lines202-247 model configuration, vocabulary and checkpoint loading.
Training data	The official whole-human release is described as pretrained on 33 million normal human cells. The corpus-construction documentation names CELLxGENE Census 2023-05-08 and filters disease=normal. The author later clarified that 2023-05-15 was assumed to be a similar replacement after the earlier snapshot disappeared; exact equality was not established. Sources (4) bowang-lab/scGPT: README.md; scGPT official training corpus construction documentation; scGPT official CELLxGENE query configuration; scGPT author clarification of CELLxGENE corpus version · README.md lines58-62, whole-human row; data/cellxgene/README.md Configure Query List, VERSION bullet; data_config.py VERSION and VALUE_FILTER; issue233 comment2261459134 by repository MEMBER subercui, 2024-07-31.
Training cutoff	The historical corpus date is documented as CELLxGENE 2023-05-08, with a later 2023-05-15 replacement ambiguity. Neither is a verified latest-study date for every trained cell. The archived corpus and evaluated checkpoint must be identified separately. · Not reported in inspected sources Sources (2) scGPT official training corpus construction documentation; scGPT author clarification of CELLxGENE corpus version · data/cellxgene/README.md VERSION bullet; issue233 comment2261459134 (author distinguishes historical snapshot from presumed replacement).
Context limits	The official embed_data workflow defaults to max_length=1200 input tokens and allows the caller to change it. This is an embedding-workflow setting, not a validated universal context ceiling or proof of the setting used in a published evaluation. Sources scGPT official embedding workflow implementation · scgpt/tasks/cell_emb.py embed_data signature lines148-167; get_batch_cell_embeddings max_length handling and DataCollator.
Weights licence	The inspected official model-zoo download table does not state a separate licence grant for the downloaded whole-human checkpoint. The repository MIT code licence is recorded separately; it is not treated as proof of explicit checkpoint-distribution terms. · Not reported in inspected sources Sources (2) bowang-lab/scGPT: README.md; bowang-lab/scGPT: LICENSE · README Pretrained scGPT Model Zoo checkpoint-folder links; LICENSE software grant.
Access	Official project documentation and implementation: https://github.com/bowang-lab/scGPT Sources (3) bowang-lab/scGPT: README.md; bowang-lab/scGPT: scgpt/model/model.py; scgpt-may2023: Primary paper PDF · May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row
Code licence	MIT for the repository code at commit cebd6fae655b9c585a4807daa3ac31bb764f06b4. Sources bowang-lab/scGPT: LICENSE · LICENSE, MIT grant and copyright notice.

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

55 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statement	Original source and location	Review and provenance
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	bowang-lab/scGPT: README.md Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: cebd6fae655b9c585a4807daa3ac31bb764f06b4 Retrieved: 2026-09-16T19:46:18.594429+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `b0503e8ca789f19f1fc2350c5aaf57b1b323bbae43b354655231b5f4a1586c83` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	bowang-lab/scGPT: scgpt/model/model.py Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: cebd6fae655b9c585a4807daa3ac31bb764f06b4 Retrieved: 2026-09-16T19:46:18.594429+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `4ae77618cc6f12a7d1f6d946fee3f7bd5c56f3e9e103073394a590ceba5a35ed` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	scgpt-may2023: Primary paper PDF Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: bioRxiv version posted 1 May 2023; re-inspected existing local research artifact Retrieved: 2026-09-16T20:21:23.046376+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `4ef64d2b3431812df07c4b3e428950644ff264ec5728267c2e4692588f557419` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Gene expression and vocabulary scGPT encoder Cell and gene representations Task-specific adaptation Individual claims	bowang-lab/scGPT: README.md Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: cebd6fae655b9c585a4807daa3ac31bb764f06b4 Retrieved: 2026-09-16T19:46:18.594429+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `b0503e8ca789f19f1fc2350c5aaf57b1b323bbae43b354655231b5f4a1586c83` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Gene expression and vocabulary scGPT encoder Cell and gene representations Task-specific adaptation Individual claims	bowang-lab/scGPT: scgpt/model/model.py Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: cebd6fae655b9c585a4807daa3ac31bb764f06b4 Retrieved: 2026-09-16T19:46:18.594429+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `4ae77618cc6f12a7d1f6d946fee3f7bd5c56f3e9e103073394a590ceba5a35ed` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Gene expression and vocabulary scGPT encoder Cell and gene representations Task-specific adaptation Individual claims	scgpt-may2023: Primary paper PDF Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: bioRxiv version posted 1 May 2023; re-inspected existing local research artifact Retrieved: 2026-09-16T20:21:23.046376+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `4ef64d2b3431812df07c4b3e428950644ff264ec5728267c2e4692588f557419` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram title scGPT workflow Individual claims	bowang-lab/scGPT: README.md Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: cebd6fae655b9c585a4807daa3ac31bb764f06b4 Retrieved: 2026-09-16T19:46:18.594429+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.title` Source artifact SHA-256: `b0503e8ca789f19f1fc2350c5aaf57b1b323bbae43b354655231b5f4a1586c83` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram title scGPT workflow Individual claims	bowang-lab/scGPT: scgpt/model/model.py Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: cebd6fae655b9c585a4807daa3ac31bb764f06b4 Retrieved: 2026-09-16T19:46:18.594429+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.title` Source artifact SHA-256: `4ae77618cc6f12a7d1f6d946fee3f7bd5c56f3e9e103073394a590ceba5a35ed` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram title scGPT workflow Individual claims	scgpt-may2023: Primary paper PDF Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: bioRxiv version posted 1 May 2023; re-inspected existing local research artifact Retrieved: 2026-09-16T20:21:23.046376+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.title` Source artifact SHA-256: `4ef64d2b3431812df07c4b3e428950644ff264ec5728267c2e4692588f557419` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Model type Generative single-cell transformer Individual claims	bowang-lab/scGPT: README.md Original source ↗ May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: cebd6fae655b9c585a4807daa3ac31bb764f06b4 Retrieved: 2026-09-16T19:46:18.594429+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.facts.0.value` Source artifact SHA-256: `b0503e8ca789f19f1fc2350c5aaf57b1b323bbae43b354655231b5f4a1586c83` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact

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Release 2026-09-29-06401fd5b220 · Record review: discovered

10 source records and release history

scGPT official resource · Original source · Not reported
bowang-lab/scGPT: README.md · Original source · cebd6fae655b9c585a4807daa3ac31bb764f06b4
bowang-lab/scGPT: scgpt/model/model.py · Original source · cebd6fae655b9c585a4807daa3ac31bb764f06b4
scgpt-may2023: Primary paper PDF · Original source · bioRxiv version posted 1 May 2023; re-inspected existing local research artifact
scGPT official embedding workflow implementation · Original source · Git commit cebd6fae655b9c585a4807daa3ac31bb764f06b4
scGPT Nature Methods original supplementary information · Original source · DOI10.1038/s41592-024-02201-0 original supplementary PDF
scGPT official training corpus construction documentation · Original source · Git commit cebd6fae655b9c585a4807daa3ac31bb764f06b4
scGPT official CELLxGENE query configuration · Original source · Git commit cebd6fae655b9c585a4807daa3ac31bb764f06b4
scGPT author clarification of CELLxGENE corpus version · Original source · Author comment2261459134, 2024-07-31; snapshot2026-09-23
bowang-lab/scGPT: LICENSE · Original source · cebd6fae655b9c585a4807daa3ac31bb764f06b4

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Technical metadata and extraction receipts

Stable ID: catalog-model-scgpt

areas: cells-tissues
method types: foundation model
entity level: family
version: whole-human
reported name: scGPT
access: Public code and downloadable checkpoints; use the unfine-tuned whole-human model for a new task.
method type: foundation model
historical missing metadata: checkpoint revision: not_yet_extracted; training data: not_yet_extracted; licence: not_yet_extracted
metadata review scope: historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
entity classification: review date: 2026-09-17; rationale: The cited profile describes a named learned biological predictor or representation model/family. Preserve this identity separately from task-specific fitting, individual checkpoints, pipelines and hosted access.; source ids: evidence-official-0e4dac85aa0e0ff1d4b2; evidence-official-d8e2d4f2e752370b6565; evidence-official-efa6ec9d886a21534a20; source locator: May 2023 scGPT preprint Sections 4.1–4.3 and 4.8; current scgpt/model/model.py and README pretrained model table; README.md: Pretrained scGPT Model Zoo, whole-human row; ambiguities: None recorded

Related records

variant of: scGPT
alias of: scGPT
uses model: CPA* (scGPT)
uses model: LA (scGPT)
subject: scGPT: variant of scGPT
family: scGPT
family: scGPT
family: scGPT
uses model: scGPT + residual geometry

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