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).

• DESE: estimating driver tissues by selective expression of genes associated with complex diseases or traits.

  PMID 31694669 · PMC6836538 · Genome biology · 2019 · 8 claims · 8 setups

  Has reproduction · 56

  DESE is a unified iterative framework that estimates driver tissues of complex diseases/traits from tissue-selective expression of GWAS-associated genes, and outputs prioritized susceptibility genes as a byproduct

  tissues schizophrenia bipolar coronary rna-seq gwas gene

• Dissecting glioblastoma risk signatures in the tumor immune microenvironment based on multi-dimensional transcriptomics.

  PMID 41880523 · PMC13154832 · GigaScience · 2026 · 7 claims · 8 setups

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  Hallmarks of malignancy and cell cycle regulatory pathways are consistently enriched across single-cell, bulk, and spatial transcriptomic modalities, promoting tumor cell proliferation and progression.

  tumor gbm normal wild-type single-cell bulk microarray

• 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

  Full-text index only

  LncADeep 2.0 outperforms LncADeep and other existing tools for lncRNA identification on both GENCODE annotated transcripts and independent RNA-seq data

  lncrna hypertrophic gencode lncrna-protein-mirna mlp-based independent ablation

• AICellType: a large language model-based platform for accurate cell type annotation.

  PMID 42001469 · PMC13092268 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  Claude 3.5 Sonnet achieved the best overall performance among 79 benchmarked LLMs for cell type annotation, balancing accuracy, robustness, speed, and cost-efficiency

  single-cell immune pbmc in-house llm-based scrna-seq spatial