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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Has reproduction
Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.
PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups
The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells
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Predicting the effect of CRISPR-Cas9-based epigenome editing.
PMID 41524535 · PMC12795505 · eLife · 2026 · 8 claims · 6 setups
Machine learning (CNN and ridge regression) models trained on histone PTM ChIP-seq and RNA-seq data from 13 ENCODE cell types accurately predict endogenous gene expression, with transcriptome-wide correlations of ~0.70-0.79 for most cell types
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Has reproduction · 79
Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.
PMID 37995291 · PMC10697738 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 8 setups
CLSM6A is a set of CNN-based deep learning models that predict single-nucleotide-resolution m6A RNA modification sites across eight cell lines and three tissues in H. sapiens
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Cross-species prediction reveals chromatin regions with increased accessibility in humans.
PMID 41984952 · PMC13082337 · Science advances · 2026 · 8 claims · 8 setups
CNNs trained exclusively on human ATAC-seq data achieve cross-species prediction performance in chimpanzees and macaques comparable to species-specific models
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Machine and Deep Learning Reveal Sequence Determinants Encoding Bivalent Histone Modifications.
PMID 41946881 · PMC13057473 · Communications biology · 2026 · 8 claims · 7 setups
Bivalent domains have higher GC content and stronger evolutionary conservation than monovalent regions