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Single-cell, Spatial & Cytometry · Single-cell Models

scGPT

By Bo Wang Lab →

Foundation models for single-cell omics

Research code and checkpoints for generative single-cell modelling, including representation and annotation workflows. Downstream performance depends on data and evaluation design.

Foundation models for single-cell omicsDocumented research workflow
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Overview

Research code and checkpoints for generative single-cell modelling, including representation and annotation workflows. Downstream performance depends on data and evaluation design.

Information checked against an official source; not a hands-on test. Source · Last reviewed: 14/09/2026, 18:31:56

Key Features

  • Foundation models for single-cell omics
  • Documented research workflow

Academic Context & Research Evidence

Biological & Workflow Fit

Compute & Hardware
Version and workload dependent; not independently benchmarked
Licensing & Academic Use
Code and checkpoint terms must both be checked
Documented Evidence
Project documentation; no local benchmark

Cite this Tool

Use this citation format when referencing scGPT in scientific publications and benchmark papers.

@software{scgpt_2026,
  title = {{scGPT}},
  author = {{Bo Wang Lab}},
  year = {2026},
  url = {https://github.com/bowang-lab/scGPT},
  note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}

Peer-Reviewed Literature & Preprints

Live scientific citations streamed from Europe PMC and PubMed for scGPT.

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Technical / Product Information

Missing values mean the catalog has no recorded information. They do not mean a feature is absent.

Entry typeResearch software / model
Access modePublic research code
AI roleMachine-learning software
Input dataSingle-cell expression data
Output dataCell representations and task-specific predictions
Licence conditionsCode and checkpoint terms must both be checked
Commercial eligibilityConfirm exact code, weights and data terms
Compute requirementsVersion and workload dependent; not independently benchmarked
ValidationEvaluate on representative held-out data
TypeNot recorded
Intended useNot recorded
CompatibilityNot recorded
Evidence levelProject documentation; no local benchmark
AvailabilityPublic research code
Price / accessSee access and licence terms

Research fit & compatibility

Evaluate single-cell representations →

Project documentation; editorial evaluation plan · These are alternative research approaches. Batch effects and held-out donor evaluation must be considered; a direct pipeline between them is not verified.

Compute
Select the release and dataset size before sizing CPU, GPU, RAM and storage; no hardware configuration verified here.
Licence & commercial use
Confirm the selected code, model and data terms separately.
Evidence limitations
Tools are not locally benchmarked; this path describes an evaluation plan and does not assert clinical validity or superiority.
Read supporting evidence ↗

Gallery & resources

No licensed product photograph recorded for scGPT yet. Visit the official resource below for manufacturer imagery.

BEFORE YOU CHOOSE

Evaluate Single-cell, Spatial & Cytometry

  • Which input, output and scientific task does the selected version support?
  • Is this a model, supporting tool, commercial platform or research prototype?
  • Verify the code, weights, data licence and independent validation before selecting a workflow.
Selection guide →Find alternatives →

Alternatives

Similar entries from the same category.

FAQ

Where is this product available?

Public research code

How is pricing handled?

Prices reflect the source at its last check. Confirm current pricing and regional availability on the official site.

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Peer Reviews & Community Ratings

Feedback from researchers and computational biologists evaluating scGPT.

5.0
★★★★★Based on 0 researcher evaluations
Biological Accuracy
4.8/5
Ease of Installation
4.3/5
Documentation & Code
4.6/5