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).

• Deconvolving cell-type-specific gene expression profiles from bulk RNA-seq samples.

  PMID 41886524 · PMC13038110 · PLoS computational biology · 2026 · 8 claims · 6 setups

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  BLUE, a U-Net-based deep learning model with dual branches (U-Net for GEPs, MLP for proportions), accurately predicts cell-type proportions and cell-type-specific gene expression profiles from bulk RNA-seq.

  pbmc pancreatic aml scrna-seq-derived real scrna-seq

• Interpretable learning of temporal cellular dynamics from single-cell data.

  PMID 41875867 · PMC13030976 · Cell reports methods · 2026 · 7 claims · 7 setups

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  NeuroVelo couples a linear latent phase-space projection with a non-linear neural ODE, using RNA velocity as a physics-informed loss penalty, to jointly model cellular dynamics and enable gene-level interpretability

  gastrulation bone pancreatic cancer scrna-seq chip-seq computational

• CSsingle: a unified tool for robust decomposition of bulk and spatial transcriptomic data across diverse single-cell references.

  PMID 42080261 · PMC13136905 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  CSsingle explicitly corrects for cell-type-specific RNA content (cell size) differences using ERCC spike-ins or a novel computational estimator

  blood breast developing colorectal bulk scrna-seq spatial