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).

• Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL.

  PMID 42026624 · PMC13238118 · Genome biology · 2026 · 8 claims · 6 setups

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  SEAGALL combines a geometry-regularised autoencoder (GRAE) to embed cells and build a cell-cell graph with a graph attention network (GAT) classifier and GNNExplainer-based XAI to identify features driving cell type/phenotype.

  count same scchip-seq ten count latent classification

• bayesReact: expression-coupled regulatory motif analysis detects microRNA activity across cancers, tissues, and at the single-cell level.

  PMID 41657247 · PMC12884093 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  bayesReact is a novel fully Bayesian generative model for inferring regulatory motif (e.g., miRNA) activity from bulk or single-cell expression data

  tcga gtex stem embryonic paired semi-synthetic single-cell

• scPASU: A computational protocol for quantifying polyadenylation site usage and alternative polyadenylation from 3' scRNA-seq data.

  PMID 42085187 · PMC13157062 · STAR protocols · 2026 · 8 claims · 6 setups

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  scPASU is a Snakemake-based workflow that quantifies APA from standard 3′ scRNA-seq data without requiring specialized library preparation

  ureter processed scrna-seq read poly

• Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models.

  PMID 35186014 · PMC8855158 · Frontiers in genetics · 2021 · 8 claims · 2 setups

  Has reproduction · 85

  A hierarchical Bayesian factor model using treatment-dependent latent factor loadings can construct gene co-expression networks from scRNA-seq data and identify differences in network structure between two (or more) biological conditions.

  simulated sars-cov-2 scrna-seq

• scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering.

  PMID 40131310 · PMC11934584 · Briefings in bioinformatics · 2025 · 8 claims · 1 setups

  Has reproduction · 85

  scSAMAC integrates contrastive learning and negative binomial (NB) losses into a VAE, extracting features via contrastive unit similarity while preserving intrinsic data characteristics to enhance robustness and generalization in clustering.

  scrna-seq scrna-seq

• Assessment of dispersion metrics for estimating single-cell transcriptional variability.

  PMID 41770747 · PMC12970974 · PLoS computational biology · 2026 · 7 claims · 4 setups

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  The variance-to-mean ratio (VMR/Fano factor) scales approximately linearly with increasing dispersion and is independent of dataset size.

  simulated manivannan lana-elola yuzwa computational scrna-seq

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

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

  Has reproduction · 53

  spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data

  bistable three-gene emt circuits simulation mixed-state grn

• Differential expression analysis in single-cell and spatial RNA-seq without model assumptions.

  PMID 41980775 · PMC13198004 · Cell reports methods · 2026 · 7 claims · 4 setups

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  Common DGE analysis methods (Wilcoxon test, unweighted t-test, pseudo-bulk aggregation, SCTransform-style parametrization) rely on unnecessary simplifications and assumptions that are inconsistent with experimental data and cause false findings

  e18 simulated scrna-seq sprna-seq scrna-seq simulation count

• Harvesting more reads from single-cell combinatorial barcoding data with scarecrow.

  PMID 41967853 · PMC13125751 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  scarecrow screens a subsample of reads to generate position-specific barcode profiles, then flexibly identifies barcode sequences in reads while accounting for positional jitter

  pbmc scrna-seq single-cell

• Evaluating the practical aspects and performance of commercial single-cell RNA sequencing technologies.

  PMID 41503158 · PMC12770963 · NAR genomics and bioinformatics · 2026 · 8 claims · 8 setups

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  A comprehensive comparison of seven 3'/whole-transcriptome single-cell platforms and two 5' whole-transcriptome + TCR platforms was performed using PBMCs from multiple donors.

  pbmcs sorted scrna-seq evercode

• scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

  PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups

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  Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.

  10x brain ucsc datasets scrna-seq integration snrna-seq

• Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants.

  PMID 41647537 · PMC12869734 · Fundamental research · 2026 · 6 claims · 3 setups

  Has reproduction · 68

  scCluster, an end-to-end deep clustering model integrating gene expression and expressed variant (eSNP) features, stratifies cell subpopulations in cancer scRNA-seq data.

  raw real-world expressed gene deep

• Score Matching for Differential Abundance Testing of Compositional High-Throughput Sequencing Data.

  PMID 41944570 · PMC13055433 · Statistics in medicine · 2026 · 8 claims · 3 setups

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  cosmoDA extends the a-b power interaction model by adding a linear covariate effect on the location vector, enabling differential abundance testing on compositional data with feature interactions.

  simulated cell-type microbial simulated single-cell 16s

• Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.

  PMID 41869863 · PMC13170260 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  Among ten/eleven evaluated single-cell FMs, scGPT, Geneformer, and CellFM are the top models considering both performance and user accessibility

  scrna-seq unpaired single-cell scgpt batch multi-omic cell-type

• Cell neighborhood topology directs rare cell population identification.

  PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups

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  RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data

  downsampled pbmc brain simulated scrna-seq cite-seq single-cell

• treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses.

  PMID 34001188 · PMC8127214 · Genome biology · 2021 · 7 claims · 6 setups

  Has reproduction · 73

  treeclimbR proposes multiple candidate resolutions on a tree and selects the optimal one in a data-driven manner using three criteria (FDR-controlling range of t, number of rejected leaves, fewest internal nodes)

  synthetic semi-simulated microbiome mirna differential microbiome microrna

• Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings.

  PMID 41555918 · PMC12812404 · Frontiers in genetics · 2025 · 7 claims · 5 setups

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  LiVAE, a dual-pathway VAE with Lorentzian geometric regularization between a primary Euclidean pathway and an information-bottleneck pathway, balances local fidelity with global topology coherence in single-cell embeddings

  single-cell same dapp1 benchmarking umap component-wise

• Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.

  PMID 41689808 · PMC12925207 · STAR protocols · 2026 · 6 claims · 6 setups

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  scPrediXcan enables cell-type-specific transcriptome-wide association studies (TWAS) by integrating deep learning-based prediction of gene expression from DNA sequence and epigenetic features.

  acinar individual-level geuvadis beta mlp-based personalized elastic-net

• GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis.

  PMID 41769841 · PMC12970594 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  Incomplete/inaccurate gene annotations, especially missing or truncated 3' UTRs, cause reads to map to non-genic regions and genes to be under-quantified or missing from scRNA-seq expression matrices in non-model species

  genomes whole-organism xenia octopus peak scrna-seq

• 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