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Do Single-Cell Models Learn Real Biology? An Empirical Analysis of Physical Interaction Signal in Pretrained scGPT Gene Embeddings

2026-07-24

Abstract excerpt

<title>Abstract</title> <p>Single-cell foundation models are trained on millions of transcriptomes, but it remains unclear whether their internal representations contain biological relationships that were not supplied as labels. We test one narrow claim: genes whose proteins physically interact should be closer in the pretrained gene-token space of scGPT than carefully matched gene pairs without a recorded intera...

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Literature Corpus work
1195b18d-0084-5d30-a29e-df73580bb470
DOI
10.21203/rs.3.rs-10461095/v1
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Do Single-Cell Models Learn Real Biology? An Empirical Analysis of Physical Interaction Signal in Pretrained scGPT Gene EmbeddingsDOI 10.21203/rs.3.rs-10461095/v1
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