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).

• Interpretable, flexible and spatially aware integration of multiple spatial transcriptomics datasets from diverse sources.

  PMID 42045691 · PMC13175893 · Nature genetics · 2026 · 6 claims · 7 setups

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  INSPIRE is a deep-learning method that unifies adversarial learning with a GNN-based encoder and integrated NMF to interpretably integrate multiple spatial transcriptomics datasets

  synthetic dorsolateral brain cortex simulated visium spatial

• Charting spatial ligand-target activity using Renoir.

  PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups

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  Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.

  intestine triple-negative dorsolateral dlpfc semi-synthetic spatial single-cell

• Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.

  PMID 41895263 · PMC13106970 · Cell reports methods · 2026 · 8 claims · 5 setups

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  scRNA-seq references yield significantly higher Pearson correlation and lower RMSE than snRNA-seq references for deconvolution across all four tissue datasets

  adipose same fat-cell real pseudobulk single-cell synthetic

• Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach.

  PMID 17010196 · PMC1592491 · BMC genomics · 2006 · 8 claims · 7 setups

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  High-throughput 454 sequencing-by-synthesis of LNCaP cDNA can profile transcript abundance across the transcriptome

  lncap lncap-derived r1881-treated massively blast blat

• A Bayesian approach to accurate and robust signature detection on LINCS L1000 data.

  PMID 32003771 · PMC7203754 · Bioinformatics (Oxford, England) · 2020 · 7 claims · 4 setups

  Has reproduction · 37

  A novel Bayesian peak deconvolution algorithm gives unbiased likelihood estimations for peak locations and derives probability-based z-scores.

  lines simulated invariant l1000 l1000 simulated liss

• scGeno: a Hidden Markov Model approach to denoise chromosome-scale genotypes from single-cell data.

  PMID 41982479 · PMC13075984 · Bioinformatics advances · 2026 · 7 claims · 4 setups

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  scGeno, a categorical HMM, infers chromosome-level genotype states in mixed-genotype organisms by modeling sequential single-cell allelic expression ratios along chromosomes

  wild-type dnmt1 synthetic embryo single-cell posterior down-sampling