REPOGEO REPORT · LITE
bowang-lab/scGPT
Default branch main · commit cebd6fae · scanned 5/15/2026, 3:22:01 PM
GitHub: 1,562 stars · 333 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface bowang-lab/scGPT, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highabout#1Add a concise "About" description
Why:
COPY-PASTE FIXA foundation model for single-cell multi-omics data analysis using generative AI, pre-trained on massive single-cell RNA-seq datasets.
- mediumtopics#2Expand repository topics for better specificity
Why:
CURRENTfoundation-model, gpt, single-cell
COPY-PASTE FIXfoundation-model, gpt, single-cell, multi-omics, generative-ai, transformer, rna-seq, computational-biology
- lowreadme#3Reorganize README to prioritize core value over updates
Why:
CURRENTThe "UPDATE" section appears immediately after the initial project description and links.
COPY-PASTE FIXMove the `!UPDATE` section and subsequent dated updates to a dedicated 'News' or 'Changelog' section further down the README, after the main introduction, features, and installation instructions.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Geneformer · recommended 2×
- scVI · recommended 1×
- MultiVI · recommended 1×
- MOFA+ · recommended 1×
- PyTorch · recommended 1×
- CATEGORY QUERYHow to apply generative AI foundation models to single-cell multi-omics data analysis?you: #1AI recommended (in order):
- scGPT ← you
- Geneformer
- scVI
- MultiVI
- MOFA+
- PyTorch
- TensorFlow
- Hugging Face Transformers
Show full AI answer
- CATEGORY QUERYWhat are the best deep learning models for zero-shot learning in single-cell biology?you: #1AI recommended (in order):
- scGPT ← you
- Geneformer
- scVI-tools
- UniPort
- Seurat
- CellPLM
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of bowang-lab/scGPT?passAI named bowang-lab/scGPT explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts bowang-lab/scGPT in production, what risks or prerequisites should they evaluate first?passAI named bowang-lab/scGPT explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo bowang-lab/scGPT solve, and who is the primary audience?passAI named bowang-lab/scGPT explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of bowang-lab/scGPT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/bowang-lab/scGPT)<a href="https://repogeo.com/en/r/bowang-lab/scGPT"><img src="https://repogeo.com/badge/bowang-lab/scGPT.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
bowang-lab/scGPT — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite