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).
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Benchmarking component choices for unpaired single cell RNA and epigenomic integration.
PMID 41987329 · PMC13192178 · Genome biology · 2026 · 7 claims · 8 setups
Gene activity scores (GAS) show limited correlation with actual gene expression but effectively preserve cellular neighborhood structure and support clustering.
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DAESC + : high-performance, integrated software for single-cell allele-specific expression data.
PMID 41851619 · PMC13169709 · BMC bioinformatics · 2026 · 8 claims · 6 setups
DAESC+ is a dual-module, end-to-end software package (DAESC-P for preprocessing, DAESC-GPU for differential analysis) for single-cell ASE data
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Empirical Bayes analysis of quantitative proteomics experiments.
PMID 19829701 · PMC2759080 · PloS one · 2009 · 8 claims · 4 setups
Developed a new empirical Bayes framework that models log2 SILAC protein ratios and is robust to non-Gaussian tails and data sparsity, unlike Gaussian mixture models or Efron's original spline-based approach
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Has reproduction · 89
miRge 2.0 for comprehensive analysis of microRNA sequencing data.
PMID 30153801 · PMC6112139 · BMC bioinformatics · 2018 · 8 claims · 6 setups
An SVM-based novel miRNA detection model achieves an average MCC of 0.939 across 32 human cell datasets and outperforms miRDeep2 and miRAnalyzer on phylogenetic conservation of predicted miRNAs
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Has reproduction · 51
SGCP: a spectral self-learning method for clustering genes in co-expression networks.
PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups
SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.
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Has reproduction · 50
RNA modifications detection by comparative Nanopore direct RNA sequencing.
PMID 34893601 · PMC8664944 · Nature communications · 2021 · 7 claims · 5 setups
Nanocompore is a model-free comparative method that uses a 2-component Gaussian mixture model (GMM) and univariate statistical tests on signal intensity/dwell time to detect RNA modifications in Nanopore direct RNA sequencing data without needing a training set
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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.
PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups
FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.
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Has reproduction · 78
Metavisitor, a Suite of Galaxy Tools for Simple and Rapid Detection and Discovery of Viruses in Deep Sequence Data.
PMID 28045932 · PMC5207757 · PloS one · 2017 · 7 claims · 5 setups
Metavisitor is an open-source suite of modular Galaxy tools and preset workflows for detecting and assembling viral genomes from deep sequencing data.
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Reconstructing cell-cell interaction network in single-cell spatial transcriptomics via directed heterogeneous graph autoencoder.
PMID 41999209 · PMC13189858 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
DualCellChat, a directed heterogeneous graph autoencoder, reconstructs a complete and accurate CCI network from incomplete single-cell spatial transcriptomics
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PeakPrime: a peak-guided primer design pipeline for target enrichment in 3'-end RNA-seq.
PMID 41919010 · PMC13034549 · Bioinformatics advances · 2026 · 8 claims · 7 setups
PeakPrime is a reproducible Nextflow pipeline that calls 3′ RNA-seq coverage peaks (MACS2), selects exonic windows, designs strand-appropriate primers (Primer3), and screens specificity (Bowtie2)
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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
OTMODE, using an unbalanced Sinkhorn algorithm and Wald test, improves differential feature identification in single-cell multi-omics data
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Deep-learning prediction of gene expression from personal genomes.
PMID 41495833 · PMC12869966 · Genome biology · 2026 · 8 claims · 8 setups
Fine-tuning Enformer on paired personal WGS and RNA-seq data (Variformer) corrects Enformer's failure to predict inter-individual gene expression differences across held-out people.