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

• NDUFA4L2 regulates the progression and chemotherapy sensitivity of HNSCC by inhibiting PANoptosis.

  PMID 41787028 · PMC13087130 · NPJ precision oncology · 2026 · 8 claims · 8 setups

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  Elevated NDUFA4L2 expression is associated with poor survival and chemotherapy resistance in HNSCC

  carcinoma hnscc cal27 oscc non-negative kaplan-meier western

• Learning collective multicellular dynamics with an interacting mean field neural SDE model.

  PMID 41564117 · PMC12854464 · PLoS computational biology · 2026 · 7 claims · 5 setups

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  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

  zebrafish embryonic pancreatic temporal umap cell-wise

• scPASU: A computational protocol for quantifying polyadenylation site usage and alternative polyadenylation from 3' scRNA-seq data.

  PMID 42085187 · PMC13157062 · STAR protocols · 2026 · 8 claims · 6 setups

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  scPASU is a Snakemake-based workflow that quantifies APA from standard 3′ scRNA-seq data without requiring specialized library preparation

  ureter processed scrna-seq read poly

• scGACL: a generative adversarial network with multi-scale contrastive learning for accurate single-cell RNA sequencing imputation.

  PMID 41632596 · PMC12866930 · Briefings in bioinformatics · 2026 · 8 claims · 6 setups

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  scGACL, a GAN integrated with multi-scale contrastive learning, is proposed to overcome the over-smoothing problem in scRNA-seq imputation

  simulated real-world scrna-seq scrna-seq clustering gene

• A pan-cancer single-cell transcriptomic atlas of human bone metastases.

  PMID 41619722 · PMC12923970 · Cell reports. Medicine · 2026 · 8 claims · 8 setups

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  Constructed a pan-cancer single-cell transcriptomic atlas of 62 human bone metastases (predominantly spinal) across 13 primary cancer types, with paired primary tumor and normal bone marrow samples.

  bone paired plasmacytoma malignant scrna-seq ihc infercnv

• 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

• PD-1 antibody-bound progenitor-exhausted CD8(+) T cells in lymph nodes boost PD-1-blockade anti-tumor immunity in gastrointestinal cancer.

  PMID 41951588 · PMC13237225 · Nature communications · 2026 · 8 claims · 6 setups

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  Progenitor-exhausted CD8+ T cells (CD8-Tpex, TCF7+PDCD1+) are enriched in proximal lymph nodes and proliferate at a high rate after ICI treatment

  esophagogastric cancer surgically tcga scrna-seq scrna reanalysis

• Prediction of myeloid malignant cells in Fanconi anemia using machine learning.

  PMID 41557613 · PMC12818649 · PloS one · 2026 · 6 claims · 7 setups

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  A DNN classifier trained on AML scRNA-seq data accurately predicts AML-like transcriptional profiles at single-cell resolution

  bone predicted-aml healthy scrna-seq reference-based stemnet

• 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

• Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants.

  PMID 41647537 · PMC12869734 · Fundamental research · 2026 · 6 claims · 3 setups

  Has reproduction · 68

  scCluster, an end-to-end deep clustering model integrating gene expression and expressed variant (eSNP) features, stratifies cell subpopulations in cancer scRNA-seq data.

  raw real-world expressed gene deep

• Evaluating Distribution and Prognostic Value of New Tumor-Infiltrating Lymphocytes in HCC Based on a scRNA-Seq Study With CIBERSORTx.

  PMID 33043022 · PMC7527443 · Frontiers in medicine · 2020 · 6 claims · 8 setups

  Has reproduction · 78

  CIBERSORTx can combine scRNA-seq-derived signature matrices with bulk RNA-seq data to estimate proportions of 11 TIL subsets in HCC tumor and normal tissue

  tcga degs cd4-gzma prognostic scrna-seq cibersortx differential

• Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer.

  PMID 33584715 · PMC7873865 · Frontiers in immunology · 2020 · 8 claims · 8 setups

  Has reproduction · 45

  Eight distinct T cell populations can be identified from CRC tumor tissue by unsupervised clustering of scRNA-seq data

  tumor-infiltrating peripheral cd4+ tumor single-cell unsupervised pearson

• Single-cell RNA sequencing of adenoid cystic carcinoma of the breast reveals cellular heterogeneity and tumor microenvironment features.

  PMID 41761191 · PMC13041279 · BMC medical genomics · 2026 · 8 claims · 7 setups

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  H19+ myoepithelial cells (H19+myoEpC) represent the dominant malignant subpopulation in ACCB, characterized by the majority of large-scale CNVs and high expression of oncogenic pathway genes and ligands (e.g., LAMB1, WNT6)

  tumor hnacc epithelial accb single-cell scrna-seq copy

• PMEPA1 modulates YAP1 nuclear translocation to disrupt EMT subtypes and promote metastasis in Biliary tract cancer.

  PMID 41932868 · PMC13172513 · Cell death & disease · 2026 · 8 claims · 8 setups

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  PMEPA1 is a pivotal EMT regulator in BTC; its high expression correlates with adverse prognosis and distant metastasis

  btc tcga hucct1 scrna-seq cnmf bulk

• PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.

  PMID 42054465 · PMC13127566 · Science advances · 2026 · 8 claims · 4 setups

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  PSGRN infers GRNs by generating pseudoannotations from gene-gene correlations and iteratively refining them via a self-training classifier using pre/post-intervention expression features.

  k562 rpe1 processed single-cell computational biological

• 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

• 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

• Harvesting more reads from single-cell combinatorial barcoding data with scarecrow.

  PMID 41967853 · PMC13125751 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  scarecrow screens a subsample of reads to generate position-specific barcode profiles, then flexibly identifies barcode sequences in reads while accounting for positional jitter

  pbmc scrna-seq single-cell

• spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.

  PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups

  Has reproduction · 53

  spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data

  bistable three-gene emt circuits simulation mixed-state grn