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).

• Partially shared multi-modal embedding learns holistic representation of cell state.

  PMID 41741805 · PMC13021527 · Nature computational science · 2026 · 8 claims · 5 setups

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  APOLLO automatically learns partial information sharing between multiple data modalities using an autoencoder with a partially overlapping latent space trained via latent optimization.

  simulated paired single simulation scrna-seq multiplexed

• 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

• Souporcell3: robust demultiplexing for high-donor single-cell RNA-seq datasets.

  PMID 41808435 · PMC13012599 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  Souporcell3 can robustly demultiplex pooled scRNA-seq data from up to 64 donors

  pooled scrna-seq doublet genotype-based umap-based

• A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.

  PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups

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  Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification

  dorsal scrna-seq skin fibroblast scatac-seq scrna-seq spatial

• Systematic background selection with BasCoD enhances contrastive dimension reduction in single cell genomics.

  PMID 41844632 · PMC13144610 · Nature communications · 2026 · 8 claims · 7 setups

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  BasCoD is a statistical testing framework using spectral subspace inclusion theory to evaluate whether a candidate background dataset is suitable for contrastive dimension reduction of a target dataset

  ts65dn ipscs k562 intestinal contrastive population-scale perturb-seq