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).

• spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.

  PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 6 setups

  Has reproduction · 53

  spliceJAC quantifies multivariate mRNA splicing from unspliced/spliced count matrices to construct cell state-specific gene-gene (Jacobian) interaction matrices.

  two-gene three-gene emt circuit simulation grn scrna-seq

• DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.

  PMID 38950178 · PMC11236288 · Bioinformatics (Oxford, England) · 2024 · 8 claims · 2 setups

  Has reproduction · 40

  DeepGSEA is an explainable deep gene set enrichment analysis method built on interpretable, prototype-based neural networks.

  simulated real-world simulation scrna-seq-based

• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

  healthy scrna-seq disease scrna-seq type perturbation

• Estimating and Correcting for Off-Target Cellular Contamination in Brain Cell Type Specific RNA-Seq Data.

  PMID 33746712 · PMC7966716 · Frontiers in molecular neuroscience · 2021 · 6 claims · 7 setups

  Has reproduction · 50

  A computational method using high-quality scRNA-seq reference data can estimate per-sample, per-cell-type off-target contamination coefficients in sctRNA-seq datasets.

  brain cortex allen lcm-seq lcm-seq scrna-seq marker

• Community assessment of methods to deconvolve cellular composition from bulk gene expression.

  PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups

  Has reproduction · 63

  Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.

  admixtures cancer tumor bulk bulk admixture crowdsourced

• 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