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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Full-text index only
Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity.
PMID 41950003 · PMC13244359 · Cell reports · 2026 · 8 claims · 7 setups
Multi-omics factor analysis (MOFA) integrating seven omics views from 1,358 ROS/MAP participants identifies cross-omics biological factors relating to AD phenotypes.
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Exploration of effective biomarkers for venous thrombosis embolism in Behçet's disease based on comprehensive bioinformatics analysis.
PMID 38987624 · PMC11236978 · Scientific reports · 2024 · 6 claims · 8 setups
Four hub genes (E2F1, GATA3, HDAC5, MSH2) serve as diagnostic biomarkers for VTE in BD with high accuracy (AUC 0.816)
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Full-text index only
GRNFormer: accurate gene regulatory network inference using graph transformer.
PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information
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A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.
PMID 41923359 · PMC13090826 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
LncADeep 2.0 outperforms LncADeep and other existing tools for lncRNA identification on both GENCODE annotated transcripts and independent RNA-seq data
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Full-text index only
Information extraction from full text scientific articles: where are the keywords?
PMID 12775220 · PMC166134 · BMC bioinformatics · 2003 · 8 claims · 5 setups
The keyword content of the five article sections (A, I, M, R, D) is heterogeneous, i.e., different sections carry different kinds of information.