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).

• Single-nucleus multiome analysis in the human prefrontal cortex identifies gene expression and cis-regulatory elements associated with aging.

  PMID 41832957 · PMC13137218 · Cell reports · 2026 · 8 claims · 8 setups

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  Generated a single-nucleus multiome (snATAC + gene expression) dataset from 357 human dorsolateral prefrontal cortex samples (ages 15-100, European and African admixed ancestry), yielding over 1.5 million cells as a public resource.

  postmortem million+ pfc each single-nucleus umap pseudobulk

• pmid-42074555

  PMID 42074555 · PMC13115875 · 8 claims · 8 setups

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  A cross-species single-cell/single-nucleus RNA-seq atlas of human fetal and mouse postnatal cochlea identifies 19 conserved major cell types

  cochlea fetal top scrna-seq snrna-seq cell-cell

• scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

  PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups

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  Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.

  10x brain ucsc datasets scrna-seq integration snrna-seq

• Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity.

  PMID 41950003 · PMC13244359 · Cell reports · 2026 · 8 claims · 7 setups

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  Multi-omics factor analysis (MOFA) integrating seven omics views from 1,358 ROS/MAP participants identifies cross-omics biological factors relating to AD phenotypes.

  dorsolateral brain postmortem cortex h3k9ac bulk proteomics

• 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