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).

• EXPLANA: a user-friendly workflow for EXPLoratory ANAlysis and feature selection in cross-sectional and longitudinal microbiome studies.

  PMID 41416890 · PMC12766912 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  EXPLANA is a feature selection workflow for longitudinal microbiome studies (LMS) that supports numerical and categorical data and also accommodates cross-sectional studies.

  simulated same simulation comparative runtime

• RUMINA: high-throughput deduplication of unique molecular identifiers for amplicon and whole-genome sequencing with enhanced error correction.

  PMID 41734278 · PMC12975283 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups

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  RUMINA improves detection accuracy of ultra-low frequency SNVs (0.01%-1%) compared to UMI-tools and UMICollapse

  hiv simulated empirical clinical simulated umi iclip

• 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

• 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

• 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

• Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.

  PMID 34254998 · PMC8575036 · Briefings in bioinformatics · 2021 · 6 claims · 4 setups

  Has reproduction · 79

  ParProx implements latent group lasso penalized regression (overlapping and non-overlapping groups) for survival (Cox) and classification (logistic) analysis of omics data.

  tcga breast liver simulated cox logistic simulation

• A statistical approach designed for finding mathematically defined repeats in shotgun data and determining the length distribution of clone-inserts.

  PMID 15626332 · PMC5172250 · Genomics, proteomics & bioinformatics · 2003 · 8 claims · 6 setups

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  Repeats of different copy number have distinct probabilities of appearance in shotgun data, which can be modeled statistically to define recognition thresholds (MDRs) at different shotgun coverages.

  simulated same repeat whole-genome genome

• 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

• 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