single-cell — 3 Technical Articles

Mar 22, 2026 · Artificial Intelligence

How scLong’s Billion‑Parameter Model Reads the Whole Single‑Cell Transcriptome

The scLong foundation model, trained on 48 million cells and 28 k genes, integrates full‑gene expression with Gene Ontology knowledge to outperform existing methods on genetic perturbation, chemical response, cancer drug prediction, gene‑regulatory network inference, and batch integration tasks.

bioinformaticsfoundation modelgene ontology

0 likes · 13 min read

How scLong’s Billion‑Parameter Model Reads the Whole Single‑Cell Transcriptome

HyperAI Super Neural

Mar 4, 2026 · Artificial Intelligence

MIT’s APOLLO Framework Breaks Limits, Separating Shared and Modality‑Specific Cell Signals

MIT and ETH Zurich introduce APOLLO, a deep‑learning autoencoder that learns a partially overlapping latent space to explicitly disentangle shared and modality‑specific information in multimodal single‑cell datasets, demonstrating superior cell‑type classification, cross‑modal prediction, and protein localization insights across sequencing and imaging data.

autoencoderbioinformaticsdeep learning

0 likes · 14 min read

MIT’s APOLLO Framework Breaks Limits, Separating Shared and Modality‑Specific Cell Signals

Data Party THU

Sep 25, 2025 · Artificial Intelligence

How scvi‑hub Turns Massive Single‑Cell Data into Shareable AI Models

scvi‑hub, introduced by UC Berkeley researchers, provides a model‑driven platform that compresses, versions, and shares large single‑cell genomics datasets via pretrained probabilistic models, enabling fast, reproducible analysis and broad community reuse while addressing data‑size and training bottlenecks.

bioinformaticsdata sharingprobabilistic models

0 likes · 7 min read

How scvi‑hub Turns Massive Single‑Cell Data into Shareable AI Models