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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DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.
PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups
DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets
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A new chromosome-level genome assembly for western painted turtle Chrysemys picta bellii, a model for extreme physiological adaptations.
PMID 41792601 · PMC13077969 · BMC genomics · 2026 · 6 claims · 8 setups
A new haplotype-resolved, chromosome-level reference genome assembly (SLU_Cpb5.0) was generated for C. picta bellii using combined PacBio HiFi, 10x Genomics Chromium, Hi-C, and Bionano optical mapping data from a single individual.
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sCellST predicts single-cell gene expression from H& E images.
PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups
sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides
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Assessing the gene space in draft genomes.
PMID 19042974 · PMC2615622 · Nucleic acids research · 2009 · 6 claims · 7 setups
The proportion of mapped CEGs in a draft genome assembly is a useful metric for describing gene space completeness, complementing N50 and x-fold coverage.