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).

• Assessing personalized molecular portraits underlying endothelial-to-mesenchymal transition within pulmonary arterial hypertension.

  PMID 39462326 · PMC11513636 · Molecular medicine (Cambridge, Mass.) · 2024 · 8 claims · 8 setups

  Has reproduction · 81

  scRNA-seq of PAH and control lung tissue identifies nine distinct cell populations with high heterogeneity in composition, function, distribution, and communication

  lung pah scrna-seq-derived endothelial scrna-seq bulk cell-cell

• Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.

  PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)

  pbmc cord melanoma lung scrna-seq computational

• Interpretable and integrative analysis of single-cell multiomics with scMKL.

  PMID 40770488 · PMC12328712 · Communications biology · 2025 · 8 claims · 7 setups

  Has reproduction · 65

  scMKL combines multiple kernel learning with random Fourier features and group Lasso to jointly model transcriptomic and epigenomic single-cell data interpretably

  mcf-7 t-47d small prostate 10x scrna-seq sciatac-seq

• Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.

  PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups

  Has reproduction · 81

  SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains

  pan-cancer pc9 451lu a375 bulk scrna-seq computational

• Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.

  PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 7 setups

  Has reproduction · 87

  Genetic variation–based demultiplexing tools can be effectively deployed on cancer scRNA-seq tissue using a pooled experimental design, achieving high recall at acceptable precision-recall tradeoffs in both high-CNV (HGSOC) and high-SNV (lung adenocarcinoma) cancers, even with extremely high doublet proportions.

  high-grade lung hgsoc healthy single-cell matched doublet