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).

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

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  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• 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

• HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups

  Has reproduction · 67

  Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution

  pbmc derived tcga-lihc scrna-seq simulated bulk

• Benchmarking LLM-based agents for single-cell omics analysis.

  PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups

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  Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks

  agent single-cell spatial scatac-seq llm-agent scrna-seq spatial

• GAMMI: graph-guided contrastive and adversarial integration of single-cell and spatial multi-omics data.

  PMID 42108634 · PMC13158126 · Briefings in bioinformatics · 2026 · 6 claims · 5 setups

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  GAMMI consistently outperforms state-of-the-art integration methods (GLUE, Harmony, MIDAS, scMoMaT) in biological conservation and batch correction across five mosaic single-cell multi-omics benchmarks

  pbmc postmortem gse138852 gammi-derived multi-omics scrna-seq differential

• Multi-species integration, alignment and annotation of single-cell RNA-seq data with CAMEX.

  PMID 41723123 · PMC13035843 · Nature communications · 2026 · 8 claims · 6 setups

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  CAMEX outperforms state-of-the-art integration methods on cross-species scRNA-seq benchmarking datasets ranging from one to eleven species

  liver ovary pancreas testis scrna-seq type

• HTSQualC is a flexible and one-step quality control software for high-throughput sequencing data analysis.

  PMID 34548573 · PMC8455540 · Scientific reports · 2021 · 8 claims · 5 setups

  Has reproduction · 89

  HTSQualC is a standalone, one-step QC software that performs filtering and trimming of raw HTS data in a single run

  cotton sugarcane tomato illumina single-end paired-end runtime

• Tracing human genetic histories and natural selection with precise local ancestry inference.

  PMID 40379651 · PMC12084304 · Nature communications · 2025 · 7 claims · 7 setups

  Has reproduction · 76

  Orchestra, a two-stage LAI method combining a recombination-distance base layer with a deep learning (convolutional + attention) smoothing module, outperforms RFmix, FLARE and Gnomix in precision and recall across simulated admixture generations.

  1kgp-16pops independent simulated 1kgp simulated population-level local

• ProtoCloud: A prototypical self-explaining model for single-cell analysis.

  PMID 41997134 · PMC13261663 · Cell genomics · 2026 · 8 claims · 8 setups

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  ProtoCloud matches or outperforms existing annotation methods across 11 large-scale datasets, particularly for rare cell types

  diverse pbmc10k pbmc30k tsca scrna-seq latent gene

• Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration.

  PMID 34773081 · PMC8589952 · Communications biology · 2021 · 8 claims · 7 setups

  Has reproduction · 92

  Large-scale integration of 111 sc/snRNAseq datasets captures rare, transitional myogenic progenitor states (commitment and fusion) that are poorly represented in individual datasets.

  skeletal merged myogenic muscle scrnaseq batch-correction differential

• Integrative Learning of Disentangled Representations from Single-Cell RNA-Sequencing Datasets.

  PMID 41971949 · PMC13068006 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups

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  spVIPES decomposes unpaired scRNA-seq datasets with nonmatching features into shared and private latent representations using a Product of Experts framework

  simulated zebrafish kidney peripheral simulated cross-species scrna-seq

• Celline: a flexible tool for one-step retrieval and integrative analysis of public single-cell RNA sequencing data.

  PMID 41458999 · PMC12738925 · Frontiers in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 64

  Celline is a Python package that automates the full scRNA-seq workflow (retrieval, metadata extraction, preprocessing, cell-type annotation, batch correction, trajectory inference) via single-line commands.

  c57bl embryonic scrna-seq quality cell-type

• Trajectory-guided dimensionality reduction for multi-sample single-cell RNA-seq data reveals biologically relevant sample-level heterogeneity.

  PMID 42024616 · PMC13188987 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  MUSTARD is a trajectory-guided dimensionality reduction method for multi-sample, multi-condition scRNA-seq data that simultaneously captures gene expression variation along pseudotime and across samples

  simulated covid-su covid-stephenson tuberculosis data-driven scrna-seq pseudobulk-pca