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).

• InSituPREP enables 3D single-cell mapping of interaction-associated gene programs in the breast cancer tumor microenvironment.

  PMID 42109251 · PMC13158666 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  InSituPREP is a computational framework that quantifies proximity-associated gene programs across multiple analytical layers (binary contacts, graded distance, density, triplets, RNA velocity) in 3D single-cell spatial data

  breast adjacent exseq-imaged exseq-derived expansion 16s scrna-seq

• Vertebrate gene finding from multiple-species alignments using a two-level strategy.

  PMID 16925840 · PMC1810555 · Genome biology · 2006 · 8 claims · 5 setups

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  DOGFISH cleanly separates a multi-species alignment classifier (RVM cascade) from an HMM-based structure predictor, avoiding tight coupling of alignment complexity with HMM formalism

  genomic encode entire chromosome multi-species hmm-based classifier

• Ectopic CD11c Drives SMAD3-Mediated Aberrant Antigen Presentation and Epithelial-Mesenchymal Transition in Esophageal Squamous Cell Carcinoma.

  PMID 41799568 · PMC12963642 · Cancer communications (London, England) · 2026 · 8 claims · 13 setups

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  An ESCC epithelial cell subcluster with ectopic CD11c (ITGAX) expression, found in both mice and humans, exhibits concurrent impaired antigen presentation and EMT phenotypes

  4-nqo-induced escc esophageal lung multiplex flow whole-genome

• Multimodal framework for the joint analysis of single-cell RNA and T cell receptor sequencing data predicts T cell response to cancer immunotherapy.

  PMID 41820396 · PMC13121706 · Nature communications · 2026 · 8 claims · 7 setups

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  TRIM, a conditional multi-modal variational autoencoder integrating paired scRNAseq and scTCRseq data, predicts T cell clonality and transcriptional states at unmeasured tissue sites/timepoints.

  hnscc colorectal pan-cancer tcr paired umap convolutional