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).

Publications 1.3k Datasets 392.5k Experiments 4

System / cell line: 10x ✕ Assay: training ✕ Clear

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

Has reproduction · 42

CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy

cancer testing sequencing unseen scrna-seq spatial
A multi-modal diffusion model with dual-cross-attention for multi-omics data generation and translation.

PMID 41980989 · PMC13253844 · Nature communications · 2026 · 8 claims · 7 setups

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scDiffusion-X is a multi-modal latent denoising diffusion probabilistic model for single-cell multi-omics data generation, translation, and interpretation.

openproblem 10x babel miniatlas paired modality augmentation
Dissecting glioblastoma risk signatures in the tumor immune microenvironment based on multi-dimensional transcriptomics.

PMID 41880523 · PMC13154832 · GigaScience · 2026 · 7 claims · 8 setups

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Hallmarks of malignancy and cell cycle regulatory pathways are consistently enriched across single-cell, bulk, and spatial transcriptomic modalities, promoting tumor cell proliferation and progression.

tumor gbm normal wild-type single-cell bulk microarray
A cross-scale multimodal framework identifies clinically actionable immunotherapy biomarkers in melanoma through bulk to single-cell and spatial transcriptomics integration.

PMID 41840725 · PMC13104449 · Human genomics · 2026 · 7 claims · 8 setups

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Multi-omics consensus clustering (MOVICS) identifies two distinct SKCM molecular subtypes, CS1 and CS2

tcga-skcm meta-geo gtex melanoma multi-omics bulk transcriptome-wide

Experiments

CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

A multi-modal diffusion model with dual-cross-attention for multi-omics data generation and translation.

Dissecting glioblastoma risk signatures in the tumor immune microenvironment based on multi-dimensional transcriptomics.

A cross-scale multimodal framework identifies clinically actionable immunotherapy biomarkers in melanoma through bulk to single-cell and spatial transcriptomics integration.