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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PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.
PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups
PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results
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Illuminating cell states by a comprehensive and interpretable single cell foundation model.
PMID 41839876 · PMC13139411 · Nature communications · 2026 · 6 claims · 6 setups
CellVQ, incorporating a Single-Cell Discretization (SCD) module that converts cell embeddings into a discrete 'cell code' via a unified codebook, mitigates data heterogeneity and batch effects while improving interpretability
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Hypergraph representations of single-cell RNA sequencing data for improved cell clustering.
PMID 41896196 · PMC13070707 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
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
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Bayesian inference of RNA velocity incorporating timepoints, lineage bifurcations, and count data.
PMID 41860983 · PMC13021174 · PLoS computational biology · 2026 · 8 claims · 8 setups
VeloVAE significantly outperforms previous RNA velocity methods in data fit, accuracy of inferred differentiation directions, and transcription rate estimation.
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High-quality acinar cell isolation enables single-cell analysis of healthy and injured pancreas.
PMID 42013858 · PMC13198085 · Cell reports methods · 2026 · 8 claims · 7 setups
The DCTC protocol isolates up to 90% acinar cells from healthy wild-type pancreatic tissue without cell fixation or dead-cell removal kits
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Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.
PMID 41689808 · PMC12925207 · STAR protocols · 2026 · 6 claims · 6 setups
scPrediXcan enables cell-type-specific transcriptome-wide association studies (TWAS) by integrating deep learning-based prediction of gene expression from DNA sequence and epigenetic features.
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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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Integrative multimodal transcriptomics identifies a cancer-associated fibroblast membrane signature for predicting prognosis and therapeutic response in pancreatic ductal adenocarcinoma.
PMID 41942785 · PMC13053443 · Journal of molecular medicine (Berlin, Germany) · 2026 · 8 claims · 8 setups
A PDAC-enriched myoCAF-c1 fibroblast cluster is closely associated with epithelial-mesenchymal transition (EMT) and angiogenesis
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A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data.
PMID 41940310 · PMC12914865 · Computational and structural biotechnology journal · 2026 · 8 claims · 5 setups
scCopulaGNN combines copula theory with graph neural network representation learning for scRNA-seq cell type classification
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Hereditary chronic pancreatitis induced plasticity cooperates with mutant Kras in early pancreatic carcinogenesis.
PMID 41419303 · PMC13151493 · Gut · 2026 · 8 claims · 8 setups
KC-Cpa1 mice show markedly increased pancreatic remodelling, fibrosis and metaplastic/PanIN lesion formation compared with KC mice
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CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning.
PMID 41481570 · PMC12758788 · PLoS computational biology · 2026 · 8 claims · 7 setups
CellPredX is a unified semi-supervised framework integrating domain adaptation and deep metric learning to align heterogeneous embeddings for cross-modality cell type annotation.
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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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Has reproduction · 68
Cell-type annotation with accurate unseen cell-type identification using multiple references.
PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups
mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy
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Multi-species integration, alignment and annotation of single-cell RNA-seq data with CAMEX.
PMID 41723123 · PMC13035843 · Nature communications · 2026 · 8 claims · 6 setups
CAMEX outperforms state-of-the-art integration methods on cross-species scRNA-seq benchmarking datasets ranging from one to eleven species
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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 · 53
spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.
PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups
spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from 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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Benchmarking tools for deciphering cellular crosstalk in spatially-resolved transcriptomics.
PMID 41952215 · PMC13174004 · Genome biology · 2026 · 8 claims · 5 setups
No prior systematic, quantitative benchmark exists for CCI inference methods specifically developed for spatial transcriptomics across multiple platforms
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CSsingle: a unified tool for robust decomposition of bulk and spatial transcriptomic data across diverse single-cell references.
PMID 42080261 · PMC13136905 · Nucleic acids research · 2026 · 8 claims · 8 setups
CSsingle explicitly corrects for cell-type-specific RNA content (cell size) differences using ERCC spike-ins or a novel computational estimator
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Single-nucleus multiple-organ chromatin accessibility landscape in the adult rat.
PMID 41632074 · PMC12954174 · GigaScience · 2026 · 8 claims · 5 setups
Generated a multi-organ snATAC-seq atlas of 9 adult rat organs comprising 25 libraries and over 110,000 cells