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).

• A sequence knowledge-guided deep learning method for single-cell multi-omics translation.

  PMID 41975483 · PMC13185235 · Genome biology · 2026 · 7 claims · 7 setups

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  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

  multi-omics pbmcs datasets fully cite-seq cross-technology tri-omics

• Single-cell multi-omic analysis of mitochondrial mutational mosaicism and dynamics.

  PMID 41839886 · PMC12996611 · Nature communications · 2026 · 7 claims · 7 setups

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  mtscATAC-seq combined with POLG D274A hypermutator HEK293 lines reveals a substantially larger single-cell mtDNA mutational burden than previously appreciated by bulk sequencing

  hek293 pbmcs mitochondrial mtdna mutational

• Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data.

  PMID 41825449 · PMC13030991 · Cell reports methods · 2026 · 7 claims · 3 setups

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  NCLUSION matches the performance of state-of-the-art single-cell clustering techniques with significantly reduced runtime

  brain-large scdesign3-simulated facs-purified scrna-seq simulated