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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VIST: variational inference for single cell time series.
PMID 41535949 · PMC12892444 · Genome biology · 2026 · 8 claims · 6 setups
VIST is a VAE-based method that decomposes single-cell gene expression into time-dependent and time-independent latent components
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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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BayesRare: Bayesian mixture model for population-level rare cell type detection in multi-subject single-cell RNA sequencing data.
PMID 41632592 · PMC12867491 · Briefings in bioinformatics · 2026 · 8 claims · 4 setups
BayesRare is a hierarchical Bayesian mixture model framework for population-level rare cell type detection in multi-subject scRNA-seq data
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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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RESCUE: recovery of unattributed expression patterns in spatial transcriptomics.
PMID 41963343 · PMC13247165 · Nature communications · 2026 · 8 claims · 5 setups
Existing ST analysis methods (segmentation, deconvolution) systematically omit or mislabel a substantial portion of true molecular expression
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Charting spatial ligand-target activity using Renoir.
PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups
Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.
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Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.
PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups
DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics
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DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.
PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups
DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets
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Differential expression analysis in single-cell and spatial RNA-seq without model assumptions.
PMID 41980775 · PMC13198004 · Cell reports methods · 2026 · 7 claims · 4 setups
Common DGE analysis methods (Wilcoxon test, unweighted t-test, pseudo-bulk aggregation, SCTransform-style parametrization) rely on unnecessary simplifications and assumptions that are inconsistent with experimental data and cause false findings
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Partially shared multi-modal embedding learns holistic representation of cell state.
PMID 41741805 · PMC13021527 · Nature computational science · 2026 · 8 claims · 5 setups
APOLLO automatically learns partial information sharing between multiple data modalities using an autoencoder with a partially overlapping latent space trained via latent optimization.
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Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data.
PMID 41825449 · PMC13030991 · Cell reports methods · 2026 · 7 claims · 3 setups
NCLUSION matches the performance of state-of-the-art single-cell clustering techniques with significantly reduced runtime
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Interpretable, flexible and spatially aware integration of multiple spatial transcriptomics datasets from diverse sources.
PMID 42045691 · PMC13175893 · Nature genetics · 2026 · 6 claims · 7 setups
INSPIRE is a deep-learning method that unifies adversarial learning with a GNN-based encoder and integrated NMF to interpretably integrate multiple spatial transcriptomics datasets
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Has reproduction · 40
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.
PMID 38950178 · PMC11236288 · Bioinformatics (Oxford, England) · 2024 · 8 claims · 2 setups
DeepGSEA is an explainable deep gene set enrichment analysis method built on interpretable, prototype-based neural networks.
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Has reproduction · 73
treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses.
PMID 34001188 · PMC8127214 · Genome biology · 2021 · 7 claims · 6 setups
treeclimbR proposes multiple candidate resolutions on a tree and selects the optimal one in a data-driven manner using three criteria (FDR-controlling range of t, number of rejected leaves, fewest internal nodes)
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Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data.
PMID 41714655 · PMC13039149 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups
scRNA-seq and spatial transcriptomics data provide a rich, underused source of information for calibrating tissue-scale PDE models of ligand dynamics.
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The GENEVA platform models tumor mosaicism to reveal variations of responses to KRAS inhibitors and identify improved drug combinations.
PMID 41735640 · PMC13035475 · Nature cancer · 2026 · 8 claims · 8 setups
GENEVA is a scalable single-cell-resolution platform for measuring drug responses across genetically diverse pooled 2D/3D cultures and xenograft models
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Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.
PMID 41895263 · PMC13106970 · Cell reports methods · 2026 · 8 claims · 5 setups
scRNA-seq references yield significantly higher Pearson correlation and lower RMSE than snRNA-seq references for deconvolution across all four tissue datasets
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singIST: An integrative method for comparative single-cell transcriptomics between disease models and humans.
PMID 41838773 · PMC13008255 · PLoS computational biology · 2026 · 8 claims · 7 setups
singIST provides explainable quantitative measures of disease model similarity to a human reference at the pathway, cell type, and gene levels
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Has reproduction · 50
Estimating and Correcting for Off-Target Cellular Contamination in Brain Cell Type Specific RNA-Seq Data.
PMID 33746712 · PMC7966716 · Frontiers in molecular neuroscience · 2021 · 7 claims · 7 setups
sctRNA-seq datasets (particularly LCM-seq) show measurable off-target mRNA contamination from surrounding cell types
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Chemically guided single-cell transcriptomics reveals sulfotransferase-mediated scaffold remodeling in securinine biosynthesis.
PMID 41577683 · PMC12929733 · Nature communications · 2026 · 8 claims · 8 setups
FsMS is a ketoreductase that reduces premenisdaurilide to menisdaurilide