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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Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL.
PMID 42026624 · PMC13238118 · Genome biology · 2026 · 8 claims · 6 setups
SEAGALL combines a geometry-regularised autoencoder (GRAE) to embed cells and build a cell-cell graph with a graph attention network (GAT) classifier and GNNExplainer-based XAI to identify features driving cell type/phenotype.
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Compact and informative representation learning for scRNA-seq data clustering with masked information bottleneck.
PMID 41917934 · PMC13162528 · BMC biology · 2026 · 6 claims · 4 setups
scMIB achieves state-of-the-art and more stable clustering performance across diverse scRNA-seq datasets compared with ten baseline methods
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Interpretable learning of temporal cellular dynamics from single-cell data.
PMID 41875867 · PMC13030976 · Cell reports methods · 2026 · 7 claims · 7 setups
NeuroVelo couples a linear latent phase-space projection with a non-linear neural ODE, using RNA velocity as a physics-informed loss penalty, to jointly model cellular dynamics and enable gene-level interpretability
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RMzyme: regulations of RNA-modifying enzymes in humans.
PMID 41672979 · PMC12895048 · Signal transduction and targeted therapy · 2026 · 8 claims · 7 setups
RMzyme is a comprehensive multiomics knowledgebase covering 179 human RNA-modifying proteins across 18 major RNA modification types and 63 human tissues
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Benchmarking RNA velocity methods across 17 independent studies.
PMID 41916302 · PMC13106975 · Cell reports methods · 2026 · 8 claims · 6 setups
No single RNA velocity method exhibited superior performance across all accuracy, stability, and usability assessments
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Has reproduction · 67
HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).
PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups
Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution
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scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics.
PMID 41639087 · PMC12982784 · Nature communications · 2026 · 7 claims · 4 setups
scLong performs self-attention across all ~27,874 human genes, including lowly expressed ones, to capture long-range gene dependencies missed by models restricted to highly expressed gene subsets
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Has reproduction · 51
Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data.
PMID 41064594 · PMC12501775 · NAR genomics and bioinformatics · 2025 · 8 claims · 8 setups
Single-cell eQTL analysis across eight immune cell types identified 2593 genes whose expression is significantly associated with common genetic polymorphisms, with most genes showing cell type-specific effects
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Hypoxia-driven remodeling of SELENOP(+) macrophages shapes T cell dynamics and promotes ovarian cancer metastasis.
PMID 41526347 · PMC12852879 · Nature communications · 2026 · 8 claims · 8 setups
SELENOP+ macrophages co-occur and spatially co-localize with precursor exhausted (GZMH+) CD8+ T cells and activate these T cells via selenoprotein P in vitro and in vivo.
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Single-Cell Transcriptomic Atlases of Camels and Cattle Unravel Molecular Evolution of Digestive and Metabolic Systems.
PMID 41632085 · PMC13067795 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 7 setups
Generated single-cell/nucleus transcriptomic atlases of camels and cattle across 54 tissues, identifying 124 cell types (78 in camels, 106 in cattle, 59 shared)
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A Single-Cell Atlas of Pan-Cancer Liver Metastasis Reveals Dynamic Cellular Programs Driving Metastatic Progression and Immune Modulation.
PMID 41884334 · PMC13010057 · Research (Washington, D.C.) · 2026 · 8 claims · 4 setups
A pan-cancer single-cell transcriptomic atlas of liver metastasis was constructed from 100 scRNA-seq samples (75 individuals, 16 studies), profiling 460,337 cells into 121 distinct cellular subtypes.
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scDenorm: a denormalization tool for integrating single-cell transcriptomics data.
PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups
Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.
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Single-cell epigenetic and transcriptomic states across the continuum of monoclonal B cell lymphocytosis to chronic lymphocytic leukemia.
PMID 41987205 · PMC13192028 · Genome biology · 2026 · 8 claims · 6 setups
The HC-MBL to CLL transition shows subclonal, epigenetic and transcriptomic stability, consistent with a continuous disease spectrum rather than distinct evolutionary phases.
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Has reproduction · 42
CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.
PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 7 setups
CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy
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Has reproduction · 50
huSA: a comprehensive database for multi-dimensional resolution of bulk, single cell and spatial transcription profiles in skin diseases.
PMID 41719583 · PMC12923168 · Database : the journal of biological databases and curation · 2026 · 7 claims · 8 setups
huSA is a comprehensive, publicly accessible database integrating bulk RNA-seq, scRNA-seq, and spatial transcriptomics data across 17 skin diseases and 63 independent datasets
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Has reproduction · 69
Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses.
PMID 34675242 · PMC8531356 · Scientific reports · 2021 · 8 claims · 8 setups
Only 8 of 20 previously published COVID-19 scRNA-seq findings were reproducible across all relevant datasets in a standardized meta-analysis
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NeMO Analytics: a compendium of transcriptomic data for the exploration of neocortical development.
PMID 41882195 · PMC13061640 · Nature neuroscience · 2026 · 8 claims · 8 setups
NeMO Analytics is a curated compendium assembling gene-level transcriptomic (and other multiomic) data from ~200 studies of neocortical development and in vitro models for interrogation by non-coding biologists
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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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Ensemble of Time-Evolving SASP Gene Sets Identifies IGFBP7 and CDKN1A as a Potential Marker Pair for Senescent Fibroblast Subpopulations Across Tissues.
PMID 41977201 · PMC13073673 · International journal of molecular sciences · 2026 · 8 claims · 5 setups
SASP genes are not uniformly expressed in all senescent fibroblasts but only in specific subpopulations, indicating combinatorial and heterogeneous SASP expression.
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A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.
PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups
Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification