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).

• scDBic: a novel deep learning-based biclustering algorithm for analyzing scRNA-seq data.

  PMID 41746287 · PMC13012890 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  scDBic improves cell clustering by combining deep autoencoder-based cell clustering, gene clustering, and reverse-strategy identification of key gene clusters

  e-mtab-3321 e-mtab-2600 gse45719 gse52529 biclustering ablation

• Neural network-assisted RNA velocity imputation for empowering transcript dynamics-based analyses.

  PMID 41736867 · PMC12927306 · iScience · 2026 · 8 claims · 8 setups

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  NARVI, a deep neural network trained on expression-velocity relationships of passed genes, can impute RNA velocity for dropped genes that conventional tools (e.g., scVelo, UniTVelo) fail to calculate

  hematopoietic lung erythroid bone scrna-seq cross-validation

• To Explore the Key Subgroup and Their Immune Microenvironment During the Formation of Coronary Plaque With scRNA-seq.

  PMID 40454289 · PMC12126265 · Cardiology research and practice · 2025 · 6 claims · 8 setups

  Has reproduction · 33

  C1 RACK1+ NK cells are a crucial subgroup for understanding coronary plaque formation, exhibiting the highest cell stemness/differentiation potential and positioned at the start of the pseudotime trajectory

  coronary scrna-seq five type single-cell doublet copy

• 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

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  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

• Single-nucleus multiomic profiling of the aging mouse substantia nigra reveals conserved gene alterations linked to Parkinson's disease.

  PMID 41781332 · PMC13138337 · Genome research · 2026 · 8 claims · 7 setups

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  Single-nucleus multiome (RNA+ATAC) sequencing of mouse substantia nigra across four age stages (2, 6, 12, 18 months) yields a 40,125-cell atlas spanning 27 cell subclasses

  substantia allen five oligodendrocyte single-nucleus scrna-seq single-cell