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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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
Evaluating Distribution and Prognostic Value of New Tumor-Infiltrating Lymphocytes in HCC Based on a scRNA-Seq Study With CIBERSORTx.
PMID 33043022 · PMC7527443 · Frontiers in medicine · 2020 · 6 claims · 8 setups
CIBERSORTx can combine scRNA-seq-derived signature matrices with bulk RNA-seq data to estimate proportions of 11 TIL subsets in HCC tumor and normal tissue
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Has reproduction · 85
ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion.
PMID 34844559 · PMC8628418 · BMC genomics · 2021 · 8 claims · 8 setups
scLRTC imputes dropout entries closest to the original expression values on simulated datasets, outperforming other state-of-the-art methods by SSE and PCC.
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Has reproduction · 90
Expression quantitative trait loci in sheep liver and muscle contribute to variations in meat traits.
PMID 33461502 · PMC7812657 · Genetics, selection, evolution : GSE · 2021 · 7 claims · 5 setups
Gene expression, exon expression, and intron excision ratio (splicing) molecular phenotypes are significantly heritable in sheep liver and muscle
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Evaluating imputation methods for accurate estimation of cell population fractions in single-cell RNA sequencing.
PMID 41503159 · PMC12770975 · NAR genomics and bioinformatics · 2026 · 8 claims · 6 setups
Eight prominent imputation methods (MAGIC, SAVER, scVI, DCA, scBiG, kNN-smoothing, scImpute, ALRA) were systematically evaluated for their ability to recover the true non-zero expression fraction using simulated and real-world scRNA-seq data
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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
Senescence-associated marker genes show weak, non-specific expression across human tissues and cell types compared to canonical tissue/cell-type markers
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scGACL: a generative adversarial network with multi-scale contrastive learning for accurate single-cell RNA sequencing imputation.
PMID 41632596 · PMC12866930 · Briefings in bioinformatics · 2026 · 8 claims · 6 setups
scGACL, a GAN integrated with multi-scale contrastive learning, is proposed to overcome the over-smoothing problem in scRNA-seq imputation
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scZiva: imputation method for single-cell RNA-seq data with zero-inflated variational autoencoder.
PMID 41857511 · PMC13122936 · BMC bioinformatics · 2026 · 8 claims · 1 setups
scZiva is a novel VAE-based imputation method for scRNA-seq data using a Zero-Inflated Negative Binomial (ZINB) likelihood.
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Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap.
PMID 41650244 · PMC12890892 · Proceedings of the National Academy of Sciences of the United States of America · 2026 · 8 claims · 7 setups
SuperMap learns cross-modal feature mappings directly from unpaired multimodal data without requiring paired training data
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Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE Consortium.
PMID 20044523 · PMC2923092 · Stroke · 2010 · 8 claims · 6 setups
SNP rs2208454 in intron 3 of MACROD2 (near FLRT3, chr20p12) is associated with lower risk of covert MRI-infarcts (OR=0.76, p=4.64x10-7)
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VISTA uncovers missing gene expression and spatial-induced information for spatial transcriptomic data analysis.
PMID 41507434 · PMC12891734 · Communications biology · 2026 · 8 claims · 6 setups
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
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Has reproduction · 69
COVID-19 vaccination atlas using an integrative systems vaccinology approach.
PMID 40456760 · PMC12130191 · NPJ vaccines · 2025 · 8 claims · 6 setups
mRNA vaccines induce transient but strong immune responses after booster doses
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Has reproduction · 74
SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.
PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups
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.
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Has reproduction · 67
Leveraging RNA-seq deconvolution to improve complex in vitro model characterization.
PMID 40701251 · PMC12391696 · The Journal of biological chemistry · 2025 · 8 claims · 6 setups
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
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A statistical model to identify differentially expressed proteins in 2D PAGE gels.
PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups
A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.
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Investigating the genetic association between ERAP1 and ankylosing spondylitis.
PMID 19692350 · PMC2758148 · Human molecular genetics · 2009 · 8 claims · 8 setups
The genetic association between ERAP1 and AS is confirmed in an independent replication cohort
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A unique malignant cell type per patient tumor encoded in each cancer cell transcriptome.
PMID 41884004 · PMC13010111 · iScience · 2026 · 8 claims · 8 setups
Malignant cells cluster predominantly by tumor of origin, while non-malignant cells from the same tumors cluster by cell type independent of patient
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Discovery and hypothesis generation through bioinformatics.
PMID 16522224 · PMC1431734 · Genome biology · 2006 · 8 claims · 8 setups
Bioinformatics should be used as a tool for discovery and hypothesis generation, not merely to manage biological data