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).
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Has reproduction · 63
Community assessment of methods to deconvolve cellular composition from bulk gene expression.
PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups
Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.
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A cellular epigenetic classification system for glioblastoma.
PMID 41499453 · PMC13128495 · Neuro-oncology · 2026 · 8 claims · 8 setups
ITHresolveGBM, a hierarchical two-step NMF method, deconvolutes bulk GBM DNA methylation profiles into three non-malignant (immune, glial, neuronal) and three malignant components
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Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.
PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups
UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data
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Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.
PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups
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
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Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types.
PMID 41566530 · PMC12906006 · Genome biology · 2026 · 7 claims · 6 setups
Pseudobulk and real bulk RNA-seq deconvolution performance differ significantly, and method ranking consistency is lower between pseudobulk and real bulk than within either data type alone
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Has reproduction · 77
Accurate chromatin marks peak calling with Omnipeak.
PMID 41521664 · PMC12784980 · Nucleic acids research · 2026 · 8 claims · 6 setups
Omnipeak is a universal unsupervised peak-calling algorithm based on a constrained three-state hidden Markov model (zero, noise, signal states)
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GRNFormer: accurate gene regulatory network inference using graph transformer.
PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information
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AICellType: a large language model-based platform for accurate cell type annotation.
PMID 42001469 · PMC13092268 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups
Claude 3.5 Sonnet achieved the best overall performance among 79 benchmarked LLMs for cell type annotation, balancing accuracy, robustness, speed, and cost-efficiency
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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
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)