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).

• 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

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  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.

  count same scchip-seq ten count latent classification

• HIF3A-mediated aberrant activation of TXNIP promotes Alzheimer's disease progression.

  PMID 41807716 · PMC13096512 · Scientific reports · 2026 · 8 claims · 8 setups

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  OS activity is significantly elevated in AD and shows pronounced heterogeneity across brain cell types

  entorhinal brain middle c57bl scrna-seq bulk animal

• Benchmarking component choices for unpaired single cell RNA and epigenomic integration.

  PMID 41987329 · PMC13192178 · Genome biology · 2026 · 7 claims · 8 setups

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  Gene activity scores (GAS) show limited correlation with actual gene expression but effectively preserve cellular neighborhood structure and support clustering.

  e18 pbmc brain kidney scrna-seq share-seq gas

• KRT15 identified by scRNA-Seq and machine learning as stemness regulator and prognostic biomarker in ESCC.

  PMID 41907411 · PMC13018899 · iScience · 2026 · 8 claims · 8 setups

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  A malignant epithelial subpopulation (Cluster 0) with the highest CytoTRACE stemness potential and highest EMT activity exists in ESCC scRNA-seq data

  escc degs eca109 kyse180 scrna-seq machine immunohistochemistry

• TDAGENE: Inference of Gene Regulatory Network Based on Topological Data Analysis and Graph Attention Network for Single-Cell RNA Sequencing Data.

  PMID 42093817 · PMC13139726 · Computational and structural biotechnology journal · 2026 · 7 claims · 5 setups

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  TDAGENE combines TDA features with a multilayer GAT via gate-controlled fusion to improve GRN inference accuracy

  scrna-seq gene string chip-seq grn persistent prior

• GDSim: accurate simulation for single-cell transcriptomes based on the guided diffusion model.

  PMID 41978379 · PMC13076945 · Briefings in bioinformatics · 2026 · 8 claims · 4 setups

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  GDSim, a label-guided diffusion-based deep generative network, can simulate scRNA-seq data that closely reflects the true distribution of original data

  real simulated annotated scrna-seq subtype differential

• WASP: a versatile, web-accessible single cell RNA-Seq processing platform.

  PMID 33736596 · PMC7977290 · BMC genomics · 2021 · 7 claims · 7 setups

  Has reproduction · 59

  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.

  specified generic scrna-seq read reference

• Research and experimental verification on the mechanisms of cellular senescence in triple-negative breast cancer.

  PMID 38435998 · PMC10909353 · PeerJ · 2024 · 8 claims · 8 setups

  Has reproduction · 67

  TNBC can be classified into three molecular subtypes (clusters 1, 2, 3) based on cellular senescence-related pathway scores

  tnbc tcga tcga-tnbc mda-mb-468 scrna-seq ssgsea unsupervised

• CeLLTra: aligning cell names with gene expression via a pathway-informed transformer.

  PMID 41652996 · PMC12881829 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups

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  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.

  tabula tumor-infiltrating scrna-seq

• Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.

  PMID 41758825 · PMC12948085 · PloS one · 2026 · 8 claims · 6 setups

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  AI-based predictive models built on unannotated scRNA-seq data (cell-by-gene expression matrices) can classify melanoma patients as ICI responders vs. non-responders

  cd45+ scrna-seq independent scrna-seq single-gene-level pathway-level

• An AI-Enabled Single-Cell Transcriptomic Analysis Pipeline for Gene Signature Discovery in Natural Killer Cells Linked to Remission Outcomes in Chronic Myeloid Leukemia.

  PMID 41972591 · PMC13072394 · Biology · 2026 · 8 claims · 7 setups

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  GAFA integrates latent-space representation, pseudotime trajectory modeling, GRN inference, and machine learning-based gene panel discovery into a single coherent pipeline, unlike existing workflows that treat these steps independently.

  peripheral subset immune assigned scrna-seq latent-space automated

• CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inference.

  PMID 42059479 · PMC13130071 · Briefings in bioinformatics · 2026 · 7 claims · 5 setups

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  CaHoT-GRN integrates pretrained biological language model embeddings (DNABERT for DNA, ESM for protein) with scRNA-seq expression data to improve GRN inference

  embryonic gene dataset-specific same scrna-seq-based sequence protein-protein

• Interactive analysis of single-cell trajectories in 3D space with Cell Journey.

  PMID 41773942 · PMC13042281 · GigaScience · 2026 · 7 claims · 3 setups

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  Cell Journey is an interactive platform for computing and visualizing RNA velocity-based single-cell trajectories in 3D space.

  pancreatic bone hematopoietic scrna-seq cite-seq clonal

• Score Matching for Differential Abundance Testing of Compositional High-Throughput Sequencing Data.

  PMID 41944570 · PMC13055433 · Statistics in medicine · 2026 · 8 claims · 3 setups

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  cosmoDA extends the a-b power interaction model by adding a linear covariate effect on the location vector, enabling differential abundance testing on compositional data with feature interactions.

  simulated cell-type microbial simulated single-cell 16s

• Interpretable and integrative analysis of single-cell multiomics with scMKL.

  PMID 40770488 · PMC12328712 · Communications biology · 2025 · 7 claims · 7 setups

  Has reproduction · 65

  scMKL outperforms SVM, EasyMKL, MLP, and XGBoost in classification accuracy (AUROC) across multiple single-cell cancer datasets

  mcf-7 t-47d small prostate 10x scrna-seq sciatac-seq

• 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

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  CellPredX is a unified semi-supervised framework integrating domain adaptation and deep metric learning to align heterogeneous embeddings for cross-modality cell type annotation.

  pbmc fetal pancreas gse149683 matched unmatched cross-protocol

• Single-cell mapping of cholesterol metabolism reveals FDPS as a therapeutic vulnerability in hepatocellular carcinoma.

  PMID 41706364 · PMC12916967 · Cellular oncology (Dordrecht, Netherlands) · 2026 · 7 claims · 8 setups

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  Cholesterol metabolic activity is markedly elevated in HCC tumors and in immune checkpoint blockade (ICB) non-responders, with pronounced intratumoral heterogeneity across malignant cell subpopulations

  hcc tcga-lihc malignant hepa1-6 scrna-seq bulk hdwgcna

• A spatially resolved human glioblastoma atlas reveals distinct cellular and molecular patterns of anatomical niches.

  PMID 41714633 · PMC13031279 · Nature communications · 2026 · 8 claims · 6 setups

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  GBM exhibits distinct cellular and molecular patterns organized by anatomical niche, with malignant, vascular, and immune compartments showing region-specific spatial associations

  gbm glioma single-cell scrna-seq cite-seq spatial

• Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.

  PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups

  Has reproduction · 81

  SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains

  pan-cancer pc9 451lu a375 bulk scrna-seq computational

• Monocytes Defined by Platelet Interactions and Oxidative Stress Signaling Underlie HIV-Associated Atherosclerosis.

  PMID 41823228 · PMC13055746 · Journal of the American Heart Association · 2026 · 8 claims · 8 setups

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  Two monocyte clusters (platelet-monocyte complex [PMC] and CD14+ monocytes) contribute independently to vascular immune dysregulation in PLWH

  circulating plasma platelet-monocyte cd14+ single-cell plasma bulk