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).

• Getting it right: being smarter about clinical trials.

  PMID 16608383 · PMC1435786 · PLoS medicine · 2006 · 9 claims · 8 setups

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  Bias and confounding in observational studies can produce misleading associations that are overturned by randomized trials (e.g., HRT).

  postmenopausal general patients men randomized population-based large

• Transcriptional landscape of repetitive elements in normal and cancer human cells.

  PMID 25012247 · PMC4122776 · BMC genomics · 2014 · 8 claims · 8 setups

  Has reproduction · 76

  RepEnrich, a computational method that uses all mapping reads (uniquely mapping plus multi-mapping reads assigned to repetitive element subfamily assemblies/pseudogenomes), quantifies genome-wide repetitive element enrichment

  chromosomes lines imr-90 prostate simulated pol chip-seq

• Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.

  PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups

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  CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data

  hypothalamic embryo hippocampus visual merfish seqfish slide-seqv2

• scArchon: a scalable benchmarking framework for assessing single-cell perturbation models.

  PMID 42121287 · PMC13162514 · Genome biology · 2026 · 8 claims · 8 setups

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  scArchon is a reproducible, modular, Snakemake-based benchmarking platform that evaluates perturbation response prediction tools in a standardized, containerized, extensible manner.

  pbmcs epithelial liver glioblastoma scrna-seq gene dimensionality

• S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.

  PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.

  dorsolateral dlpfc nanostring spatial cell-type multi-platform

• DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

  PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups

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  DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets

  heart cortex visual brain spatial cell-type