Subcellularly Resolved Single-Cell Embedding Learning with Transcriptomic data, Protein Structure and Localization Information

arXiv:2609.02344 · q-bio.GN, cs.AI · Submitted 2026-09-02 · Read on arXiv

q-bio.GN, cs.AI

Submitted: 2026-09-02

Updated: 2026-09-02

Comments: 20 pages, 4 figures, and 1 tables

Code: https://github.com/ZHOUZHEN2002/RNA

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Embeddings — 37× in this paper · explained in 2 episodes
Representation Learning — 15× in this paper · explained in 2 episodes
Transformer — 15× in this paper · explained in 2 episodes
Accuracy — 10× in this paper · explained in 1 episode
Abundance — 8× in this paper · explained in 1 episode
Foundation Model — 8× in this paper · explained in 3 episodes
Alignment — 6× in this paper · explained in 1 episode
F1 Score — 6× in this paper · explained in 3 episodes
Attention Mechanism — 5× in this paper · explained in 2 episodes
Benchmark — 4× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Foundation Models — 4× in this paper · explained in 7 episodes
Multimodal Fusion — 4× in this paper · explained in 3 episodes
Cross-Attention Mechanism — 3× in this paper · explained in 2 episodes
Generative AI — 3× in this paper · explained in 2 episodes
Ablation — 2× in this paper · explained in 1 episode
Downstream Tasks — 2× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Latent Representation — 2× in this paper · explained in 2 episodes
Latent Space — 2× in this paper · explained in 7 episodes
Transformer Architecture — 2× in this paper · explained in 2 episodes
Adam — 1× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Clustering — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Latent Representations — 1× in this paper · explained in 3 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Multimodal Learning — 1× in this paper · explained in 2 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Transferability — 1× in this paper · explained in 4 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

Terminology

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