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).

• 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

  ovarian kidney prostate breast simulation spot-level nucleus

• Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.

  PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups

  Has reproduction · 89

  GRF identifies effective features that form highly connected sub-graphs on the underlying biological network

  synthetic tcga embryonic simulation sub-graph reproducibility

• Community assessment of methods to deconvolve cellular composition from bulk gene expression.

  PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups

  Has reproduction · 63

  Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.

  admixtures cancer tumor bulk bulk admixture crowdsourced

• A cellular epigenetic classification system for glioblastoma.

  PMID 41499453 · PMC13128495 · Neuro-oncology · 2026 · 8 claims · 8 setups

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  ITHresolveGBM, a hierarchical two-step NMF method, deconvolutes bulk GBM DNA methylation profiles into three non-malignant (immune, glial, neuronal) and three malignant components

  gbm healthy pseudo-bulk tcga illumina single-cell deconvolution

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

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  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data.

  PMID 41582216 · PMC12837286 · Genome biology · 2026 · 8 claims · 6 setups

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  omnideconv is an R package providing a unified interface to twelve second-generation deconvolution methods (AutoGeneS, BayesPrism, Bseq-SC, Bisque, CDseq, CIBERSORTx, CPM, DWLS, MOMF, MuSiC, SCDC, Scaden)

  blood-derived pbmc blood spleen bulk scrna-seq pseudo-bulk

• HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups

  Has reproduction · 67

  Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution

  pbmc derived tcga-lihc scrna-seq simulated bulk

• RNA-Seq alignment to individualized genomes improves transcript abundance estimates in multiparent populations.

  PMID 25236449 · PMC4174954 · Genetics · 2014 · 8 claims · 7 setups

  Has reproduction · 50

  Genetic variants distinguishing an individual genome from the reference cause read misalignment and biased transcript abundance estimates, and fine-tuning of alignment algorithms does not correct this problem.

  liver genomic cast simulated bulk high-density rna-seq