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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High-fidelity bidirectional translation between single-cell transcriptomes and DNA methylomes with scBOND.
PMID 41887797 · PMC13138010 · Genome research · 2026 · 7 claims · 6 setups
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
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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
scDiffusion-X is a multi-modal latent denoising diffusion probabilistic model for single-cell multi-omics data generation, translation, and interpretation.
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Partially shared multi-modal embedding learns holistic representation of cell state.
PMID 41741805 · PMC13021527 · Nature computational science · 2026 · 8 claims · 5 setups
APOLLO automatically learns partial information sharing between multiple data modalities using an autoencoder with a partially overlapping latent space trained via latent optimization.
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Has reproduction · 78
Determining the quality and complexity of next-generation sequencing data without a reference genome.
PMID 25514851 · PMC4298064 · Genome biology · 2014 · 8 claims · 8 setups
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.
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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
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.