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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Multi-omics feature engineering driven by biomedical foundation models improves drug response prediction for inflammatory bowel disease patients.
PMID 41844950 · PMC13129071 · Scientific reports · 2026 · 8 claims · 7 setups
FM (MAMMAL)-derived drug-target binding affinity (BA) inference can be used to rank/select biologically relevant protein targets and their associated genes/SNPs for a drug of interest without knowledge of protein structure or active sites
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Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information.
PMID 42100854 · PMC13229940 · Nucleic acids research · 2026 · 8 claims · 6 setups
SCEG-HiC, a weighted graphical lasso (wglasso) method, predicts enhancer-gene links from single-cell multi-omics data by integrating bulk average Hi-C as a prior penalty matrix
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Radiogenomics predicts immune microenvironment heterogeneity and response to combination immunotherapy in hepatocellular carcinoma.
PMID 41555384 · PMC12895822 · Journal of translational medicine · 2026 · 8 claims · 8 setups
A parsimonious 2-gene immune-related signature (IRS = 0.425×KPNA2 + 0.302×SMG5) is significantly associated with immune heterogeneity and response to ICI plus anti-angiogenic combination therapy in HCC
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Nonsense-mediated mRNA decay inhibition reshapes the cancer immunopeptidome.
PMID 41956098 · PMC7619149 · Immunity · 2026 · 8 claims · 8 setups
Reduced NMD activity (lower NMD score) predicts improved CPI response across >1,000 patients, independent of TMB or tumor type
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A sequence knowledge-guided deep learning method for single-cell multi-omics translation.
PMID 41975483 · PMC13185235 · Genome biology · 2026 · 7 claims · 7 setups
scProTrans, a deep learning framework combining sequence knowledge (dna2vec gene embeddings, ProtT5 protein embeddings) with a cross-omics attention mechanism, translates single-cell transcriptome data into proteome profiles
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Discovery of key regulators in classical monocyte phenotypes linked to COVID-19 severity using single-cell multi-omics sequencing.
PMID 41732268 · PMC12925236 · iScience · 2026 · 8 claims · 8 setups
Two severity-associated classical monocyte (cMono) subtypes, IL7R+ and CD163+, exist with distinct transcriptional and epigenetic landscapes.
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A unified framework for correcting batch effects and integrating multi-omics data.
PMID 41786846 · PMC13079841 · Scientific reports · 2026 · 7 claims · 6 setups
MoDAmix, a four-stage domain adaptation framework (pre-training, single-omics adversarial adaptation, multi-omics adversarial alignment, semi-supervised class alignment), unifies batch correction across multiple omics layers.
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Critical evaluation of drug response prediction models with DrEval.
PMID 42120410 · PMC13168506 · Nature communications · 2026 · 8 claims · 6 setups
DrEval is a living open-source benchmarking pipeline for unbiased, biologically meaningful evaluation of cancer drug response prediction models, integrating standardized preprocessing, hyperparameter tuning, statistically rigorous evaluation, cross-study benchmarks, and ablation studies.