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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CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.
PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups
CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data
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Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types.
PMID 41566530 · PMC12906006 · Genome biology · 2026 · 7 claims · 6 setups
Pseudobulk and real bulk RNA-seq deconvolution performance differ significantly, and method ranking consistency is lower between pseudobulk and real bulk than within either data type alone
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scSurvival: Single-Cell Survival Analysis of Clinical Cancer Cohort Data at Cellular Resolution.
PMID 42013315 · PMC13133615 · Cancer discovery · 2026 · 8 claims · 7 setups
scSurvival, an attention-based multiple-instance Cox regression framework, models each tumor sample as an ensemble of cells to predict survival outcomes at both patient and single-cell levels
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A pan-cancer single cell landscape reveals heterogeneity and functional diversity of double-negative T cells.
PMID 41484771 · PMC12882460 · Molecular cancer · 2026 · 7 claims · 5 setups
Integration of pan-cancer scRNA-seq data yields a comprehensive single-cell atlas of 157,025 high-quality DNT cells across 23 cancer types.
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transFusion: a novel comprehensive platform for integration analysis of single-cell and spatial transcriptomics.
PMID 41645434 · PMC12930851 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
transFusion is a comprehensive, web-based platform for integrated analysis of scRNA-seq and 10x Visium spatial transcriptomics data requiring no parameter configuration
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PRDM1 Is Associated with Chemoradiotherapy-Associated Enrichment of Adaptive NK Cells in Cervical Cancer.
PMID 42110212 · PMC13150072 · Computational and structural biotechnology journal · 2026 · 8 claims · 8 setups
CRT enriches adaptive NK (aNK) cells within the cervical cancer immune microenvironment, with enrichment apparent after the first fraction and persisting after the second
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Has reproduction · 68
Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants.
PMID 41647537 · PMC12869734 · Fundamental research · 2026 · 6 claims · 3 setups
scCluster, an end-to-end deep clustering model integrating gene expression and expressed variant (eSNP) features, stratifies cell subpopulations in cancer scRNA-seq data.
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Has reproduction · 87
Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.
PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 6 setups
Genetic variation-based demultiplexing tools can be effectively deployed on pooled scRNA-seq experimental designs in cancer tissue (HGSOC and lung adenocarcinoma) despite somatic variation.
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Therapeutic Targeting of Oxidative Phosphorylation in Microsatellite Instability-High Gastric Cancer.
PMID 42038020 · PMC13104725 · Journal of Cancer · 2026 · 7 claims · 8 setups
MSI gastric cancer samples show significantly greater T cell infiltration and a lower proportion of epithelial cells compared to GS samples
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Single-cell omics data-driven decoding of tumor clonal evolution through reinforcement learning.
PMID 41998716 · PMC13224513 · Genome medicine · 2026 · 8 claims · 3 setups
scRevol is an RL-based model that infers tumor clonal evolution from scRNA-seq-derived CNV profiles via a label assignment learning strategy.
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SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data.
PMID 42015285 · PMC13231777 · Genome biology · 2026 · 8 claims · 6 setups
SpaNiche integrates smoothed cell-type abundance and ligand-receptor expression matrices via graph-regularized joint NMF, across multiple spatial views, to identify colocalization patterns
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Spatial multi-omics identifies a NOTCH3-mediated capillary-mCAF crosstalk driving immune exclusion in hepatocellular carcinoma.
PMID 42099451 · PMC13147954 · iMeta · 2026 · 8 claims · 8 setups
A high-resolution spatial multi-omics atlas of HCC (CosMx transcriptomics + GeoMx proteomics + pan-cancer scRNA-seq of CAFs under ICB) reveals coordinated cellular topography of the tumor microenvironment
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Atlas-guided discovery of transcription factors for T cell programming.
PMID 41639465 · PMC13017511 · Nature · 2026 · 8 claims · 8 setups
A multi-omics atlas (Taiji pipeline) integrating RNA-seq and ATAC-seq across nine CD8+ T cell states can predict TF activity and identify state-selective versus multi-state TFs
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Has reproduction · 64
Characterizing Neutrophil Subtypes in Cancer Using scRNA Sequencing Demonstrates the Importance of IL1β/CXCR2 Axis in Generation of Metastasis-specific Neutrophils.
PMID 38358352 · PMC10903300 · Cancer research communications · 2024 · 8 claims · 7 setups
Two main neutrophil subtypes exist in primary tumors: an activated subtype sharing transcriptomic signatures with healthy neutrophils, and a tumor-specific subtype.
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scComm: a contrastive learning framework for deciphering cell-cell communications at single-cell resolution.
PMID 41877186 · PMC13134144 · Genome biology · 2026 · 8 claims · 7 setups
scComm infers cell-cell communications at single-cell resolution using a data-adaptive L-R weighting module and supervised contrastive learning (SupCon loss) to distinguish significant CCC events from background noise
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Has reproduction · 45
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
Eight distinct T cell populations can be identified from CRC tumor tissue by unsupervised clustering of scRNA-seq data
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AGPAT3 reshapes tumor cell vulnerability to IFNγ-mediated ferroptosis and enhances immunotherapy efficacy through lipid remodeling.
PMID 41807033 · PMC12983827 · Journal for immunotherapy of cancer · 2026 · 8 claims · 8 setups
A ferroptosis-driver gene signature (FD.sig) and machine learning model (FD.model) can predict ICI response
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Has reproduction · 42
CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.
PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 7 setups
CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy
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Has reproduction · 94
iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.
PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups
Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal
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Pan-Cancer Single-Cell RNA Sequencing Analysis Refines Multi-Origin Monocyte and Macrophage Lineages.
PMID 41231218 · PMC12865363 · Cancer immunology research · 2026 · 6 claims · 8 setups
TAMs arise from two distinct origins: C1QC+ TAMs likely derive from resident tissue macrophages, while SPP1+ TAMs and ISG15+ TAMs likely originate from circulating monocytes.