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).

• 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

• 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

• STAN, a computational framework for inferring spatially informed transcription factor activity.

  PMID 41521668 · PMC12784991 · Nucleic acids research · 2026 · 7 claims · 7 setups

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  STAN, a linear mixed-effects (spatially weighted regression) model, integrates TF-target gene priors, gene expression, spatial coordinates, and histological image features to predict spot-specific TF activity in spatial transcriptomics data

  lymph glioblastoma breast dorsolateral spatial scrna-seq

• Expanding the vision of environmental health at UNC-CH.

  PMID 15248304 · PMC1247395 · Environmental health perspectives · 2004 · 8 claims · 8 setups

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  Human breast tumors arise from at least two distinct cell types, basal and luminal epithelial, with different clinical behavior

  breast chinese carolina rodent microarray functional genetic

• Accurate detection of somatic single-nucleotide variants from bulk RNA-seq data using RNA-MosaicHunter.

  PMID 41505106 · PMC12781890 · Nucleic acids research · 2026 · 6 claims · 8 setups

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  RNA-MosaicHunter accurately detects sSNVs from bulk RNA-seq with high precision (94.7% in TCGA, 99.3% in cell-line mixture) in default mode

  tcga cell-line same gtex bulk whole-exome whole-genome

• RADAR: differential analysis of MeRIP-seq data with a random effect model.

  PMID 31870409 · PMC6927177 · Genome biology · 2019 · 8 claims · 6 setups

  Has reproduction · 10

  RADAR is a novel analytical tool for differential methylation analysis of MeRIP-seq data combining gene-level INPUT normalization with a Poisson random effect model.

  simulated fallopian pancreatic liver merip-seq m6a-merip-seq pca