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).

• 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

• Glioblastoma stem cells show transcriptionally correlated spatial organization.

  PMID 41577992 · PMC12894897 · Communications biology · 2026 · 8 claims · 5 setups

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  GSCs from different patient samples exhibit diverse, characteristic multicellular spatial patterns in culture (e.g., anisotropic vs isotropic packing, overlapping vs non-overlapping space utilization)

  patient-derived computational matched pooled phase-contrast bulk principal

• SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.

  PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups

  Has reproduction · 74

  SpaGene improves average PCC and SSIM and reduces RMSE compared to 6 baseline methods (SpaGE, gimVI, Tangram, VISTA, spRefine, stDiff) across 8 diverse ST-SC dataset pairs under gene-holdout evaluation.

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• PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.

  PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups

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  PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results

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• Sequencing mRNA from cryo-sliced Drosophila embryos to determine genome-wide spatial patterns of gene expression.

  PMID 23951250 · PMC3741199 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 67

  Cryosectioning single blastoderm-stage D. melanogaster embryos along the A–P axis and sequencing mRNA from each slice yields reliable genome-wide spatial expression patterns.

  single methanol-fixed reads slice mrna-seq light-microscopy read

• 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

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• Protein co-evolution, co-adaptation and interactions.

  PMID 18818697 · PMC2556093 · The EMBO journal · 2008 · 8 claims · 6 setups

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  The mirrortree method predicts protein-protein interactions by detecting pairs of protein families with similar phylogenetic trees (quantified as Pearson correlation of sequence similarity matrices).

  nuoe intra-protein coli interacting phylogenetic correlated domain-restricted

• Holliday junction recognition protein (HJURP) could reflect the clinical outcomes of lung adenocarcinoma patients, and impact the choice of precision therapy.

  PMID 39649097 · PMC11621083 · Frontiers in genetics · 2024 · 7 claims · 8 setups

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  HJURP is a significant prognostic biomarker in LUAD, with high expression associated with increased risk of overall survival death across four independent cohorts

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