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).

• Separating selection from mutation in antibody language models.

  PMID 41944291 · PMC13056363 · eLife · 2026 · 8 claims · 6 setups

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  Masked antibody language models such as AbLang2 are biased by nucleotide-level mutation processes (germline memorization, codon table, SHM rate variation)

  single nine antibody reconstructed masked-site correlation functional

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• Hypergraph representations of single-cell RNA sequencing data for improved cell clustering.

  PMID 41896196 · PMC13070707 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  Unipartite network projections (e.g. cell/gene co-expression networks) of scRNA-seq data lose higher-order information and are an inefficient, inflated representation of sparse transcriptomic data

  pancreas brain lung simulated scrna-seq simulated

• A Bayesian approach to accurate and robust signature detection on LINCS L1000 data.

  PMID 32003771 · PMC7203754 · Bioinformatics (Oxford, England) · 2020 · 7 claims · 4 setups

  Has reproduction · 37

  A novel Bayesian peak deconvolution algorithm gives unbiased likelihood estimations for peak locations and derives probability-based z-scores.

  lines simulated invariant l1000 l1000 simulated liss

• PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.

  PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups

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  PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results

  simulated null pbmc pancreas pseudotime tvg false-positive

• A map of human protein interactions derived from co-expression of human mRNAs and their orthologs.

  PMID 18414481 · PMC2387231 · Molecular systems biology · 2008 · 8 claims · 6 setups

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  Comparing human mRNA co-expression with co-expression of orthologous gene pairs in five other organisms identifies proteins that physically associate

  genes hela proteins worm co-expression quantitative functional

• Viewing RNA-seq data on the entire human genome.

  PMID 28979763 · PMC5605993 · F1000Research · 2017 · 8 claims · 3 setups

  Has reproduction · 50

  RNA-Seq Viewer is a web application that visualizes genome-wide RNA-seq expression data pulled from NCBI's SRA and GEO databases using Ideogram.js

  sra web gzip-compressed rna-seq client-side network

• iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data.

  PMID 35899080 · PMC9310080 · NAR genomics and bioinformatics · 2022 · 8 claims · 4 setups

  Has reproduction · 58

  iCOMIC provides a GUI-driven, Snakemake-based pipeline integrating multiple tools for DNA-Seq and RNA-Seq analysis with minimal command-line interaction.

  giab monocyte missense somatic germline rna-seq machine

• VISTA uncovers missing gene expression and spatial-induced information for spatial transcriptomic data analysis.

  PMID 41507434 · PMC12891734 · Communications biology · 2026 · 8 claims · 6 setups

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  VISTA predicts unmeasured gene expression in subcellular spatial transcriptomic data by integrating scRNA-seq and SST through variational inference and geometric deep learning with built-in uncertainty quantification

  brain breast embryo muscle imaging-based sequencing spot-based

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• ICE: robust detection of cellular senescence from weak single-cell signatures using imputation-based marker refinement.

  PMID 41668152 · PMC12990438 · Genome biology · 2026 · 8 claims · 7 setups

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  Senescence-associated marker genes show weak, non-specific expression across human tissues and cell types compared to canonical tissue/cell-type markers

  tissues pancreas pancreatic brain bulk scrna-seq train

• saseR: juggling offsets unlocks RNA-seq tools for fast and scalable differential usage, aberrant splicing and expression retrieval.

  PMID 41709279 · PMC13019952 · Genome biology · 2026 · 8 claims · 5 setups

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  Replacing the library-size offset with the log of the total gene count in NB-based bulk RNA-seq models (edgeR/DESeq2) lets the mean-model parameters be interpreted as transcript/exon usage, unlocking these tools for differential usage and aberrant splicing without DEXSeq-style subject-specific blocking covariates.

  simulated bulk cohort aberrant differential exon

• SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.

  PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 6 claims · 5 setups

  Has reproduction · 77

  SurvConvMixer, using pathway-level gene expression images and ConvMixer, achieves strong internal validation AUC for overall survival prediction, especially on larger datasets like LUAD

  luad lusc skcm trained deep benchmark model

• Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.

  PMID 41953002 · PMC13053772 · iScience · 2026 · 8 claims · 8 setups

  Has reproduction · 78

  PARP1, PTPN1, and ITGA4 are core PAH protein targets identified via PPI network analysis and XGBoost feature selection from AD-associated DEGs

  brain geo predicted gse44771 wgcna differential protein-protein

• SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.

  PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups

  Has reproduction · 74

  SpaGene improves average PCC and SSIM and reduces RMSE compared to 6 baseline methods (SpaGE, gimVI, Tangram, VISTA, spRefine, stDiff) across 8 diverse ST-SC dataset pairs under gene-holdout evaluation.

  pairs nanostring st-sc osmfish_zeisel st-sc 5-fold spatially

• Leveraging RNA-seq deconvolution to improve complex in vitro model characterization.

  PMID 40701251 · PMC12391696 · The Journal of biological chemistry · 2025 · 8 claims · 6 setups

  Has reproduction · 67

  RNA-seq deconvolution can predict cell type proportions from bulk RNA-seq using scRNA-seq references, offering a useful characterization tool for CIVMs where single-cell methods are impractical

  intestine rodent duodenal neonatal bulk scrna-seq marker

• 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

• Robust and efficient annotation of cell states through gene signature scoring.

  PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups

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  Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.

  pbmc colorectal esophageal crc scrna-seq cross-implementation signature

• A unified framework for correcting batch effects and integrating multi-omics data.

  PMID 41786846 · PMC13079841 · Scientific reports · 2026 · 7 claims · 6 setups

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  MoDAmix, a four-stage domain adaptation framework (pre-training, single-omics adversarial adaptation, multi-omics adversarial alignment, semi-supervised class alignment), unifies batch correction across multiple omics layers.

  brain aml same single-cell bulk k-means

• Community assessment of methods to deconvolve cellular composition from bulk gene expression.

  PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups

  Has reproduction · 63

  Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.

  admixtures cancer tumor bulk bulk admixture crowdsourced