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).

• S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.

  PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  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.

  dorsolateral dlpfc nanostring spatial cell-type multi-platform

• DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

  PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups

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  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

  heart cortex visual brain spatial cell-type

• Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.

  PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups

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  CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data

  hypothalamic embryo hippocampus visual merfish seqfish slide-seqv2

• Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

  PMID 41627342 · PMC12862982 · Briefings in bioinformatics · 2026 · 7 claims · 3 setups

  Has reproduction · 89

  No single existing SOTA imputation method consistently performs well across newer SRT platforms/datasets

  datasets srt same computational proposed

• CellMap: precision mapping of cellular landscape in spatial transcriptomics.

  PMID 41505103 · PMC12781899 · Nucleic acids research · 2026 · 7 claims · 3 setups

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  CellMap combines co-linearity of seed genes, a random forest model, and the linear assignment algorithm to achieve optimal assignment of single cells to spatial spots

  platforms single-cell expression computational scrna-seq spatial

• Spider: a flexible and unified framework for simulating spatial transcriptomics data.

  PMID 41237053 · PMC12790819 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  Spider simulates ST data without requiring real ST data as a reference

  simulated hypothalamus dorsolateral spatial clustering cell-cell

• Spatially resolved integrative analysis of transcriptomic and metabolomic changes in tissue injury studies.

  PMID 41501078 · PMC12780049 · Nature communications · 2026 · 8 claims · 7 setups

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  MAGPIE is a computational framework (Snakemake workflow) that co-registers Visium spatial transcriptomics with MSI metabolomics and tissue morphology images from same or consecutive sections

  lung brain publicly rodent spatial desi h&e

• Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues.

  PMID 41298871 · PMC12662399 · Nature cell biology · 2025 · 7 claims · 6 setups

  Has reproduction · 100

  S2-omics is an end-to-end workflow that automatically selects ROIs from H&E histology images to maximize molecular information content for spatial omics profiling.

  gastric colorectal additional breast xenium visium histology

• Benchmarking LLM-based agents for single-cell omics analysis.

  PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups

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  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

  agent single-cell spatial scatac-seq llm-agent scrna-seq spatial

• HRCHY-CytoCommunity identifies hierarchical tissue organization in cell-type spatial maps.

  PMID 41764165 · PMC13065825 · Nature communications · 2026 · 8 claims · 5 setups

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  HRCHY-CytoCommunity is an end-to-end graph neural network framework that jointly identifies multi-level (coarse tissue compartment and fine cellular neighborhood) tissue structures from cell-type spatial maps using differentiable graph pooling, adaptive edge pruning, and consistency/balance regularization.

  healthy colorectal simulated breast codex visium merfish

• 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

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  scRNA-seq and spatial transcriptomics data provide a rich, underused source of information for calibrating tissue-scale PDE models of ligand dynamics.

  skin combined annotated scrna-seq single-cell spatial cell2location

• Genomics--from Neanderthals to high-throughput sequencing.

  PMID 16934106 · PMC1779599 · Genome biology · 2006 · 8 claims · 8 setups

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  Next-generation sequencing platforms (GS20/454 and Solexa) can deliver the throughput and cost reductions needed for population-scale and medical resequencing.

  bacterial ion-channel drosophila arrays next-generation pooled multiplex

• Integrated multi-omic atlas reveals the hierarchy of spatiotemporal regulatory networks of mouse gastrulation.

  PMID 41526381 · PMC12902073 · Nature communications · 2026 · 8 claims · 8 setups

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  BioCRE, a novel bi-orientation regression algorithm, more accurately links genes to candidate cis-regulatory elements (CREs) than existing tools Signac and ArchR

  gastrulating gastrula gold-standard embryo single-cell computational promoter

• Differentiation in the human urothelia is defined by distinct alternative polyadenylation.

  PMID 41533515 · PMC12937501 · Cell reports · 2026 · 8 claims · 8 setups

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  APA introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels

  urothelial urothelial-specific ureter hek293t single-cell poly fluorescence

• SGCRNA: spectral clustering-guided co-expression network analysis without scale-free constraints for multi-omic data.

  PMID 41615289 · PMC12856952 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  WGCNA's reliance on a scale-free topology assumption is problematic because real co-expression networks do not consistently exhibit scale-free properties

  gse114007 gse261545 dryad.37pvmcvsg prjna762466 bulk spatial merfish

• scSurv: a deep generative model for single-cell survival analysis.

  PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes

  simulated tcga melanoma renal scrna-seq bulk single-cell

• Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration.

  PMID 34773081 · PMC8589952 · Communications biology · 2021 · 8 claims · 7 setups

  Has reproduction · 92

  Large-scale integration of 111 sc/snRNAseq datasets captures rare, transitional myogenic progenitor states (commitment and fusion) that are poorly represented in individual datasets.

  skeletal merged myogenic muscle scrnaseq batch-correction differential