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

• Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information.

  PMID 42100854 · PMC13229940 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  SCEG-HiC, a weighted graphical lasso (wglasso) method, predicts enhancer-gene links from single-cell multi-omics data by integrating bulk average Hi-C as a prior penalty matrix

  specified covid-19 scatac scatac-seq bulk

• A bioinformatic pipeline for simulating viral integration data.

  PMID 35496474 · PMC9046613 · Data in brief · 2022 · 7 claims · 3 setups

  Has reproduction · 96

  A snakemake-based pipeline was developed to simulate integration of a viral or vector genome into a host genome, including sub-genomic fragment integration, structural variation, and host-site deletions.

  aav2 host simulated integration simulated junction-crossing

• iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

  PMID 42108258 · PMC13158306 · Signal transduction and targeted therapy · 2026 · 8 claims · 5 setups

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  iS2C2 integrates the S2C2 cell-cell communication algorithm with LLMs to generate biologically interpretable hypotheses from scRNA-seq and spatial transcriptomics data

  single-cell algorithm domain scrna-seq single-cell perturbation llm-based

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• Identifying human pre-mRNA cleavage and polyadenylation factors by genome-wide CRISPR screens using a dual fluorescence readthrough reporter.

  PMID 38587191 · PMC11077057 · Nucleic acids research · 2024 · 6 claims · 8 setups

  Has reproduction · 68

  A dual fluorescence (GFP-mCherry) readthrough reporter with a PAS inserted between the two reporters enables measurement of 3' end processing efficiency in living cells.

  hek293 coli dual genome-wide western