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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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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New center a stroke of gene-ius.
PMID 11171539 · PMC1242068 · Environmental health perspectives · 2001 · 8 claims · 4 setups
Exposure to alkylating agents evokes at least three-fold expression changes in about one-third of the yeast genome (~2,000 genes), far beyond DNA repair genes alone
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LazySlide: accessible and interoperable whole-slide image analysis.
PMID 41862659 · PMC13076205 · Nature methods · 2026 · 8 claims · 8 setups
LazySlide is an open-source Python package built on the scverse ecosystem for whole-slide image (WSI) analysis and multimodal integration.
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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.
PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups
FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.
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Has reproduction
Different approaches to Imaging Mass Cytometry data analysis.
PMID 37092034 · PMC10115470 · Bioinformatics advances · 2023 · 8 claims · 5 setups
Imaging Mass Cytometry (IMC) is a high-multiplexing imaging platform capable of simultaneously detecting and visualizing up to 40 different protein targets in tissue sections.
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25th Annual San Antonio Breast Cancer Symposium, San Antonio, Texas, USA, 10-14 December 2002 Update on preclinical and translational research.
PMID 12631391 · PMC154153 · Breast cancer research : BCR · 2003 · 8 claims · 8 setups
Growth factor signalling (EGF/HER-2/MAPK, AKT) phosphorylates the oestrogen receptor and drives development of endocrine-resistant breast cancer
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Characterisation of p53 status at the gene, chromosomal and protein levels in oesophageal adenocarcinoma.
PMID 14583777 · PMC2394414 · British journal of cancer · 2003 · 8 claims · 4 setups
p53 gene mutations are infrequent in oesophageal adenocarcinoma (9.6%)
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Physiology engages with functional genomics - at last.
PMID 16086845 · PMC1273626 · Genome biology · 2005 · 8 claims · 8 setups
Large-scale QTL phenotyping in rat strains reveals that most hypertension-related traits are sexually dimorphic
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Directing stem cell differentiation by chromatin state approximation.
PMID 41734818 · PMC12956330 · Nucleic acids research · 2026 · 8 claims · 8 setups
Greedy selection of culture conditions by chromatin (ATAC-seq) distance to target is a viable optimisation strategy for differentiation protocols
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Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.
PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups
UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data