Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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A sequence knowledge-guided deep learning method for single-cell multi-omics translation.
PMID 41975483 · PMC13185235 · Genome biology · 2026 · 7 claims · 7 setups
scProTrans, a deep learning framework combining sequence knowledge (dna2vec gene embeddings, ProtT5 protein embeddings) with a cross-omics attention mechanism, translates single-cell transcriptome data into proteome profiles
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Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning.
PMID 41588477 · PMC12833949 · Genome medicine · 2026 · 8 claims · 4 setups
scMDCF outperforms existing state-of-the-art scMulti-omics integration and clustering models across various types of scMulti-omics datasets, including robustness against batch effects
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MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction.
PMID 41811907 · PMC12998955 · PLoS computational biology · 2026 · 8 claims · 7 setups
MultiPert reliably predicts both perturbed gene expression and protein abundance profiles from single-cell multi-omics data
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Cell neighborhood topology directs rare cell population identification.
PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups
RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data