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).

• 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

• Resolving sensitivity, specificity and signal contamination in Xenium spatial transcriptomics.

  PMID 42062553 · PMC13259927 · Nature methods · 2026 · 8 claims · 6 setups

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  Xenium data show strong consistency across patients and technical replicates, with little technical variation between platforms

  ffpe matched xenium xenium single-nucleus immunohistochemistry

• SA2E: spatial-aware auto-encoder for cell type deconvolution of spatial transcriptomics data.

  PMID 41863296 · PMC13070677 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups

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  SA2E is a spatial-aware auto-encoder framework for cell-type deconvolution that does not require predefined cell-type biomarkers

  olfactory legacy breast brain simulated real scrna-seq

• A unique malignant cell type per patient tumor encoded in each cancer cell transcriptome.

  PMID 41884004 · PMC13010111 · iScience · 2026 · 8 claims · 8 setups

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  Malignant cells cluster predominantly by tumor of origin, while non-malignant cells from the same tumors cluster by cell type independent of patient

  malignant non-malignant ovarian normal scrna-seq alternative paired