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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Single-cell epigenetic profiling reveals a tumor-intrinsic interferon response program in ccRCC tied to poor prognosis and BAP1 loss.
PMID 41719400 · PMC12922754 · Science advances · 2026 · 8 claims · 8 setups
Subclustering of ccRCC tumor cells reveals four shared epigenetic programs (C0-C3) recurrent across patients, cohorts, and disease stages
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BiCLUM: Bilateral contrastive learning for unpaired single-cell multi-omics integration.
PMID 41632825 · PMC12904586 · PLoS computational biology · 2026 · 8 claims · 5 setups
BiCLUM consistently outperforms or matches existing integration methods across multiple RNA+ATAC and RNA+protein datasets in visualization and quantitative benchmarks
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Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings.
PMID 41555918 · PMC12812404 · Frontiers in genetics · 2025 · 7 claims · 5 setups
LiVAE, a dual-pathway VAE with Lorentzian geometric regularization between a primary Euclidean pathway and an information-bottleneck pathway, balances local fidelity with global topology coherence in single-cell embeddings
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MitoPerturb-Seq identifies gene-specific single-cell responses to mitochondrial DNA depletion and heteroplasmy.
PMID 41922875 · PMC13095666 · Nature structural & molecular biology · 2026 · 8 claims · 6 setups
MitoPerturb-Seq combines pooled CRISPR–Cas9 screening (CROP-seq) with 10x Genomics multiome (scATAC-seq + scRNA-seq) to simultaneously profile mtDNA sequence/copy number/heteroplasmy and the nuclear transcriptome/chromatin accessibility in single heteroplasmic cells
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Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.
PMID 41869863 · PMC13170260 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
Among ten/eleven evaluated single-cell FMs, scGPT, Geneformer, and CellFM are the top models considering both performance and user accessibility
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Benchmarking LLM-based agents for single-cell omics analysis.
PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups
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