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).

• CIRCE: a scalable Python package to predict cis-regulatory DNA interactions from single-cell chromatin accessibility data.

  PMID 41734268 · PMC12987762 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups

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  CIRCE re-implements the Cicero co-accessibility algorithm in Python, producing near-identical results while running much faster and using far less memory

  bmmc pbmc foetal cis-regulatory enhancer-promoter scalability

• DAESC + : high-performance, integrated software for single-cell allele-specific expression data.

  PMID 41851619 · PMC13169709 · BMC bioinformatics · 2026 · 8 claims · 6 setups

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  DAESC+ is a dual-module, end-to-end software package (DAESC-P for preprocessing, DAESC-GPU for differential analysis) for single-cell ASE data

  onek1k endoderm simulated single-cell differential runtime

• FLASH-MM: fast and scalable single-cell differential expression analysis using linear mixed-effects models.

  PMID 41644528 · PMC12982622 · Nature communications · 2026 · 8 claims · 6 setups

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  FLASH-MM produces LMM parameter estimates identical to lmer (lme4) up to the sixth decimal place while being 50- to 140-fold faster as sample size increases from 20,000 to 120,000 cells

  simulated same healthy female-biased simulated comparative single-cell

• scMILD: Single-cell multiple instance learning for sample classification and associated subpopulation discovery.

  PMID 41907409 · PMC13019583 · iScience · 2026 · 8 claims · 8 setups

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  scMILD identifies condition-associated cells using only sample-level labels via a dual-branch MIL architecture with a shared encoder

  simulated lupus covid-19 ulcerative simulated mixture scrna-seq

• Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

  PMID 41627342 · PMC12862982 · Briefings in bioinformatics · 2026 · 7 claims · 3 setups

  Has reproduction · 89

  No single existing SOTA imputation method consistently performs well across newer SRT platforms/datasets

  datasets srt same computational proposed

• OTMODE: an optimal transport theory-based framework for identifying differential features in single-cell multi-omics data.

  PMID 41335419 · PMC12766913 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  OTMODE, using an unbalanced Sinkhorn algorithm and Wald test, improves differential feature identification in single-cell multi-omics data

  simulated classical degs naive simulated bulk real

• Benchmarking tools for deciphering cellular crosstalk in spatially-resolved transcriptomics.

  PMID 41952215 · PMC13174004 · Genome biology · 2026 · 8 claims · 5 setups

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  No prior systematic, quantitative benchmark exists for CCI inference methods specifically developed for spatial transcriptomics across multiple platforms

  synthetic real simulated simulation spot-purity real-data

• omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data.

  PMID 41582216 · PMC12837286 · Genome biology · 2026 · 8 claims · 6 setups

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  omnideconv is an R package providing a unified interface to twelve second-generation deconvolution methods (AutoGeneS, BayesPrism, Bseq-SC, Bisque, CDseq, CIBERSORTx, CPM, DWLS, MOMF, MuSiC, SCDC, Scaden)

  blood-derived pbmc blood spleen bulk scrna-seq pseudo-bulk

• nf-core/crisprseq: a versatile pipeline for comprehensive analysis of CRISPR gene editing and screening assays.

  PMID 41551929 · PMC12805889 · NAR genomics and bioinformatics · 2026 · 8 claims · 5 setups

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  nf-core/crisprseq is the first generic pipeline enabling analysis of the broad spectrum of CRISPR designs, from targeted gene edits (KO, KI, BE, PE) to large-scale functional screens

  spike-in prjeb53901 a375 prjna326019 targeted crispr computing

• Prior-guided factorization for reliable imputation of scRNA-seq data.

  PMID 41860953 · PMC13004523 · PLoS computational biology · 2026 · 8 claims · 8 setups

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  scZN models scRNA-seq counts as a mixture of a two-state (Gamma-Poisson/negative binomial) transcriptional bursting process and dropout, formalized via a zero-inflated negative binomial (ZINB) and solved as constrained nonnegative matrix factorization into a cell-to-cell-type assignment matrix and a cell-type expression matrix

  ercc real randomly brain scrna-seq cell-cycle k-nn

• 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

• SGCRNA: spectral clustering-guided co-expression network analysis without scale-free constraints for multi-omic data.

  PMID 41615289 · PMC12856952 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  WGCNA's reliance on a scale-free topology assumption is problematic because real co-expression networks do not consistently exhibit scale-free properties

  gse114007 gse261545 dryad.37pvmcvsg prjna762466 bulk spatial merfish

• FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.

  PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups

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  FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.

  colorectal crc breast he-stained spatial type ccc