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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Integrated transcriptome and single-cell sequencing analysis identify blood-pancreas shared lncRNA biomarkers in new-onset T2DM.
PMID 41915667 · PMC13037964 · PloS one · 2026 · 8 claims · 6 setups
1,709 lncRNAs are differentially expressed in peripheral blood of new-onset T2DM patients vs controls
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A cross-scale multimodal framework identifies clinically actionable immunotherapy biomarkers in melanoma through bulk to single-cell and spatial transcriptomics integration.
PMID 41840725 · PMC13104449 · Human genomics · 2026 · 7 claims · 8 setups
Multi-omics consensus clustering (MOVICS) identifies two distinct SKCM molecular subtypes, CS1 and CS2
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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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Molecular signatures of cell diversity modulated by long noncoding RNAs in the human fetal spinal cord.
PMID 42006319 · PMC13090696 · iScience · 2026 · 8 claims · 7 setups
Three neural stem cell (NSC) lineages (NSC1, NSC2, NSCs) were annotated in the human fetal spinal cord
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Integrated spatial transcriptomics and pan-cancer XGBoost modeling uncover spatial drivers of immune exclusion and predict immunotherapy response.
PMID 41925746 · PMC13046951 · Cancer immunology, immunotherapy : CII · 2026 · 8 claims · 8 setups
A three-step computational framework (ImmCeRNA) identified 6,070 immune-related ceRNA interactions across 27 cancer types by integrating expression correlation and experimental validation data.
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FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in Drosophila melanogaster.
PMID 41551930 · PMC12805895 · NAR genomics and bioinformatics · 2026 · 7 claims · 8 setups
FLYNC, an explainable boosting machine (EBM) model, accurately predicts the probability that a newly identified RNA transcript in D. melanogaster is a lncRNA
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Cell type-specific epigenetic regulatory circuitry of coronary artery disease loci.
PMID 41807385 · PMC12979833 · Nature communications · 2026 · 8 claims · 8 setups
Integration of CAD GWAS summary statistics with epigenetic data from 45 cell types identifies 1580 candidate CAD genes