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).

• Semi-parametric empirical bayes method for multiplet detection in snATAC-seq with probabilistic multi-omic integration.

  PMID 42054434 · PMC13148828 · PLoS computational biology · 2026 · 8 claims · 5 setups

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  SEBULA models the singlet background directly from observed HCLC (high-coverage locus count) statistics using fragment-level snATAC-seq information, avoiding reliance on synthetic/artificial doublets.

  dogma-seq dogma-seq-derived seven snatac-seq q-q density

• High-fidelity bidirectional translation between single-cell transcriptomes and DNA methylomes with scBOND.

  PMID 41887797 · PMC13138010 · Genome research · 2026 · 7 claims · 6 setups

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  scBOND is a bidirectional dual-channel VAE framework for cross-modality translation between scRNA-seq and scDNAm that outperforms existing baseline methods (scCross, MAPLE) in both translation directions

  mouseembryo humanbraina paired umap differential

• 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

• Cross-modality representation and multi-sample integration of spatially resolved omics data.

  PMID 42114120 · PMC13160428 · Briefings in bioinformatics · 2026 · 7 claims · 4 setups

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  PRESENT is a contrastive learning-based integrative framework for cross-modality representation of spatial multi-omics data using omics-specific encoders (GAT + BNN) and distribution-aware decoders (ZINB for RNA, ZIP for ATAC)

  across spatial spatially multi-sample

• Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.

  PMID 41895263 · PMC13106970 · Cell reports methods · 2026 · 8 claims · 5 setups

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  scRNA-seq references yield significantly higher Pearson correlation and lower RMSE than snRNA-seq references for deconvolution across all four tissue datasets

  adipose same fat-cell real pseudobulk single-cell synthetic

• Determining the quality and complexity of next-generation sequencing data without a reference genome.

  PMID 25514851 · PMC4298064 · Genome biology · 2014 · 8 claims · 8 setups

  Has reproduction · 78

  kPAL, an open-source alignment-free package, assesses sequencing data quality and complexity using k-mer frequency profiles and pairwise distances between them, without a reference sequence.

  rna-seq genome wgs exome k-mer rna-seq read

• GAMMI: graph-guided contrastive and adversarial integration of single-cell and spatial multi-omics data.

  PMID 42108634 · PMC13158126 · Briefings in bioinformatics · 2026 · 6 claims · 5 setups

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  GAMMI consistently outperforms state-of-the-art integration methods (GLUE, Harmony, MIDAS, scMoMaT) in biological conservation and batch correction across five mosaic single-cell multi-omics benchmarks

  pbmc postmortem gse138852 gammi-derived multi-omics scrna-seq differential

• Partially shared multi-modal embedding learns holistic representation of cell state.

  PMID 41741805 · PMC13021527 · Nature computational science · 2026 · 8 claims · 5 setups

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  APOLLO automatically learns partial information sharing between multiple data modalities using an autoencoder with a partially overlapping latent space trained via latent optimization.

  simulated paired single simulation scrna-seq multiplexed

• Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity.

  PMID 41950003 · PMC13244359 · Cell reports · 2026 · 8 claims · 7 setups

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  Multi-omics factor analysis (MOFA) integrating seven omics views from 1,358 ROS/MAP participants identifies cross-omics biological factors relating to AD phenotypes.

  dorsolateral brain postmortem cortex h3k9ac bulk proteomics

• LazySlide: accessible and interoperable whole-slide image analysis.

  PMID 41862659 · PMC13076205 · Nature methods · 2026 · 8 claims · 8 setups

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  LazySlide is an open-source Python package built on the scverse ecosystem for whole-slide image (WSI) analysis and multimodal integration.

  artery gene wsis breast zero-shot bulk multimodal