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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Has reproduction · 59
WASP: a versatile, web-accessible single cell RNA-Seq processing platform.
PMID 33736596 · PMC7977290 · BMC genomics · 2021 · 7 claims · 7 setups
WASP is a software platform for processing Drop-Seq-based scRNA-seq data generated with ddSEQ or 10x protocols, combining a Snakemake pre-processing pipeline with an R Shiny post-processing application.
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Has reproduction · 85
scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering.
PMID 40131310 · PMC11934584 · Briefings in bioinformatics · 2025 · 8 claims · 1 setups
scSAMAC integrates contrastive learning and negative binomial (NB) losses into a VAE, extracting features via contrastive unit similarity while preserving intrinsic data characteristics to enhance robustness and generalization in clustering.
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Learning collective multicellular dynamics with an interacting mean field neural SDE model.
PMID 41564117 · PMC12854464 · PLoS computational biology · 2026 · 7 claims · 5 setups
scIMF models multicellular dynamics as interacting diffusion processes using a McKean-Vlasov SDE solved via Neural SDE, with a Transformer-based cell-wise attention mechanism approximating the distribution-dependent drift term
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Predictive modeling of molecular activity underlying physical cell-cell interactions.
PMID 41672069 · PMC12946745 · Cell reports methods · 2026 · 8 claims · 5 setups
Gloss, an overlapping group lasso regression combining single-gene and curated pathway features, predicts LIPSTIC interaction intensity from scRNA-seq data
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MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction.
PMID 41811907 · PMC12998955 · PLoS computational biology · 2026 · 8 claims · 7 setups
MultiPert reliably predicts both perturbed gene expression and protein abundance profiles from single-cell multi-omics data
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Has reproduction · 85
Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models.
PMID 35186014 · PMC8855158 · Frontiers in genetics · 2021 · 8 claims · 2 setups
A hierarchical Bayesian factor model using treatment-dependent latent factor loadings can construct gene co-expression networks from scRNA-seq data and identify differences in network structure between two (or more) biological conditions.
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sCellST predicts single-cell gene expression from H& E images.
PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups
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
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Unveiling the early defense response dynamics in grapevines against Plasmopara viticola by single-cell transcriptomics.
PMID 41593733 · PMC12918531 · Genome biology · 2026 · 8 claims · 5 setups
Generated the first single-cell transcriptome atlas (scRNA-seq + spRNA-seq) of grapevine leaves during P. viticola infection across four early time points (0, 3, 6, 12 hpi)
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Heterochronic transcription factor expression drives cone-dominant retina development in 13-lined ground squirrels.
PMID 41649260 · PMC12880807 · eLife · 2026 · 8 claims · 8 setups
13LGS cone photoreceptors arise from both early-stage and late-stage neurogenic progenitors, unlike mice where cones arise only from early-stage progenitors
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BMP and NODAL paracrine signalling regulate the totipotent-like cell state in embryonic stem cells.
PMID 41660012 · PMC12876259 · Frontiers in cell and developmental biology · 2025 · 7 claims · 8 setups
BMP and NODAL (TGF-β) paracrine signalling are key routes of intercellular communication that respectively enhance or diminish the totipotent-like cell (TLC) state in mouse ESCs
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Neural network-assisted RNA velocity imputation for empowering transcript dynamics-based analyses.
PMID 41736867 · PMC12927306 · iScience · 2026 · 8 claims · 8 setups
NARVI, a deep neural network trained on expression-velocity relationships of passed genes, can impute RNA velocity for dropped genes that conventional tools (e.g., scVelo, UniTVelo) fail to calculate
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Single cell multiomics revealed fibrotic trajectories of endometrial cells and interaction with the pro-fibrotic macrophages in intrauterine adhesion.
PMID 41947225 · PMC13188631 · Genome medicine · 2026 · 8 claims · 8 setups
Human IUA endometrium contains a novel ACTA2+KRT8+ myofibrotic-epithelial subpopulation and an ACTA2+CD31+ myofibrotic-endothelial subpopulation, in addition to myofibroblasts
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A sequence knowledge-guided deep learning method for single-cell multi-omics translation.
PMID 41975483 · PMC13185235 · Genome biology · 2026 · 7 claims · 7 setups
scProTrans, a deep learning framework combining sequence knowledge (dna2vec gene embeddings, ProtT5 protein embeddings) with a cross-omics attention mechanism, translates single-cell transcriptome data into proteome profiles
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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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iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.
PMID 42108258 · PMC13158306 · Signal transduction and targeted therapy · 2026 · 8 claims · 5 setups
iS2C2 integrates the S2C2 cell-cell communication algorithm with LLMs to generate biologically interpretable hypotheses from scRNA-seq and spatial transcriptomics data
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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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Benchmarking LLM-based agents for single-cell omics analysis.
PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups
Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks