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).
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Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.
PMID 41952176 · PMC13188385 · Genome medicine · 2026 · 8 claims · 8 setups
A multimodal transformer combining WSIs and gene expression outperforms models trained on either modality alone for classifying bronchial dysplasia or worse vs non-dysplasia.
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Semi-parametric empirical bayes method for multiplet detection in snATAC-seq with probabilistic multi-omic integration.
PMID 42054434 · PMC13148828 · PLoS computational biology · 2026 · 8 claims · 5 setups
SEBULA models the singlet background directly from observed HCLC (high-coverage locus count) statistics using fragment-level snATAC-seq information, avoiding reliance on synthetic/artificial doublets.
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AMR-GNN: a multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction.
PMID 41792137 · PMC13087051 · Nature communications · 2026 · 7 claims · 8 setups
AMR-GNN, a graph neural network integrating multiple genomic representations (unitigs, SNPs, FCGR) via low-rank multimodal fusion, improves AMR phenotype prediction in P. aeruginosa compared to single-representation baseline models.
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Discovery of key regulators in classical monocyte phenotypes linked to COVID-19 severity using single-cell multi-omics sequencing.
PMID 41732268 · PMC12925236 · iScience · 2026 · 8 claims · 8 setups
Two severity-associated classical monocyte (cMono) subtypes, IL7R+ and CD163+, exist with distinct transcriptional and epigenetic landscapes.