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).

• Forseti: a mechanistic and predictive model of the splicing status of scRNA-seq reads.

  PMID 38940130 · PMC11256924 · Bioinformatics (Oxford, England) · 2024 · 7 claims · 5 setups

  Has reproduction · 87

  Forseti is the first probabilistic model for resolving the splicing status of exonic scRNA-seq reads by scoring putative fragments linking read alignments to proximate priming sites

  training simulated held-out paired-end cubic mlp

• Learning collective multicellular dynamics with an interacting mean field neural SDE model.

  PMID 41564117 · PMC12854464 · PLoS computational biology · 2026 · 7 claims · 5 setups

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  scIMF models multicellular dynamics as interacting diffusion processes using a McKean-Vlasov SDE solved via Neural SDE, with a Transformer-based cell-wise attention mechanism approximating the distribution-dependent drift term

  zebrafish embryonic pancreatic temporal umap cell-wise

• CeLLTra: aligning cell names with gene expression via a pathway-informed transformer.

  PMID 41652996 · PMC12881829 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups

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  Grouping genes into pathway-defined gene sets as Transformer input tokens (instead of using individual genes or discretized bins) mitigates the long-sequence problem and improves representation learning of scRNA-Seq gene expression profiles.

  tabula tumor-infiltrating scrna-seq

• 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

• scSurv: a deep generative model for single-cell survival analysis.

  PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes

  simulated tcga melanoma renal scrna-seq bulk single-cell

• Partially shared multi-modal embedding learns holistic representation of cell state.

  PMID 41741805 · PMC13021527 · Nature computational science · 2026 · 8 claims · 5 setups

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  APOLLO automatically learns partial information sharing between multiple data modalities using an autoencoder with a partially overlapping latent space trained via latent optimization.

  simulated paired single simulation scrna-seq multiplexed

• ICE: robust detection of cellular senescence from weak single-cell signatures using imputation-based marker refinement.

  PMID 41668152 · PMC12990438 · Genome biology · 2026 · 8 claims · 7 setups

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  Senescence-associated marker genes show weak, non-specific expression across human tissues and cell types compared to canonical tissue/cell-type markers

  tissues pancreas pancreatic brain bulk scrna-seq train