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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Topography-aware optimal transport for alignment of spatial omics data.
PMID 41916307 · PMC13107060 · Cell reports methods · 2026 · 7 claims · 4 setups
TOAST extends the classical FGW objective by adding a spatial coherence term and a neighborhood consistency term to model local spatial organization and molecular heterogeneity.
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A tumor-intrinsic WNT-inhibitory NOTUM program drives immune resistance in microsatellite stable colorectal cancer.
PMID 42097145 · PMC13198260 · Cell reports. Medicine · 2026 · 8 claims · 7 setups
A distinct NOTUM/NKD1/APCDD1-high, WNT-inhibitory cancer cell population (WICC) emerges predominantly in advanced-stage MSS CRC
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Has reproduction · 91
Lineage commitment of dermal fibroblast progenitors is controlled by Kdm6b-mediated chromatin demethylation.
PMID 37602956 · PMC10548174 · The EMBO journal · 2023 · 6 claims · 5 setups
E14.5 DFPs have a repressed transcriptional profile marked by high H3K27me3 and inaccessible chromatin at lineage-specific genes
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A unified framework for correcting batch effects and integrating multi-omics data.
PMID 41786846 · PMC13079841 · Scientific reports · 2026 · 7 claims · 6 setups
MoDAmix, a four-stage domain adaptation framework (pre-training, single-omics adversarial adaptation, multi-omics adversarial alignment, semi-supervised class alignment), unifies batch correction across multiple omics layers.
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Has reproduction · 90
Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart.
PMID 37012284 · PMC10070245 · Scientific reports · 2023 · 7 claims · 8 setups
Batch correction using sequencing platform as the correcting variable (via Combat-Seq) removes technical variability so that samples cluster by injury condition rather than dataset origin.
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EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.
PMID 41527854 · PMC12796812 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups
EpiXFormer achieves high accuracy (mean AUROC ~0.99) predicting binding sites of both TFs and non-sequence-specific DBPs across 199 DBP-cell type pairs
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S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.
PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.
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CeLLTra: aligning cell names with gene expression via a pathway-informed transformer.
PMID 41652996 · PMC12881829 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups
Grouping genes into pathway-defined gene sets as Transformer input tokens (instead of using individual genes or discretized bins) mitigates the long-sequence problem and improves representation learning of scRNA-Seq gene expression profiles.
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Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.
PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups
Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile
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MIMIC: a flexible pipeline to register and summarize IMC-MSI experiments.
PMID 41917425 · PMC13201759 · Communications biology · 2026 · 7 claims · 6 setups
MIMIC is a reproducible, semi-automated workflow that co-registers and jointly analyzes MALDI-MSI and IMC data using a chain of before/after microscopy images.
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scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning.
PMID 41507436 · PMC12859067 · Communications biology · 2026 · 7 claims · 7 setups
scXDR outperforms seven methods that transfer drug response information from bulk RNA-seq to single-cell data, across all four evaluated scenarios
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Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.
PMID 41869863 · PMC13170260 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
Among ten/eleven evaluated single-cell FMs, scGPT, Geneformer, and CellFM are the top models considering both performance and user accessibility
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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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Prior-guided factorization for reliable imputation of scRNA-seq data.
PMID 41860953 · PMC13004523 · PLoS computational biology · 2026 · 8 claims · 8 setups
scZN models scRNA-seq counts as a mixture of a two-state (Gamma-Poisson/negative binomial) transcriptional bursting process and dropout, formalized via a zero-inflated negative binomial (ZINB) and solved as constrained nonnegative matrix factorization into a cell-to-cell-type assignment matrix and a cell-type expression matrix
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A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.
PMID 41923359 · PMC13090826 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
LncADeep 2.0 outperforms LncADeep and other existing tools for lncRNA identification on both GENCODE annotated transcripts and independent RNA-seq data
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SMART: spatial multi-omic aggregation using graph neural networks and metric learning.
PMID 41896208 · PMC13031631 · Nature communications · 2026 · 8 claims · 5 setups
SMART accurately identifies spatial regions of anatomical structures and is compatible with spatial datasets of any type and number of omics layers
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Tachykinin signaling defines distinct populations of glia in the enteric nervous system.
PMID 41512855 · PMC12832054 · Neuron · 2026 · 8 claims · 8 setups
Mucosal and muscularis glia are transcriptionally distinct populations, with mucosal glia resembling microglia and muscularis glia resembling satellite glia/astrocytes