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 · 44
An OMICs-based meta-analysis to support infection state stratification.
PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups
Multi-class machine learning models built from cross-platform microarray meta-analysis can distinguish bacterial, viral and no-infection states with high accuracy (best model: 93% bacterial, 89% viral correct).
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Has reproduction · 44
Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.
PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups
DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection
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Has reproduction · 67
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
PMID 37847658 · PMC10628388 · Bioinformatics (Oxford, England) · 2023 · 7 claims · 3 setups
PSPred-ALE, a deep learning predictor using a self-adaptive learning embedding algorithm, automatically extracts contextual sequence features and identifies SARS-CoV-2 phosphorylation sites without feature engineering.
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Has reproduction · 100
Betacoronavirus-specific alternate splicing.
PMID 35074468 · PMC8782732 · Genomics · 2022 · 8 claims · 8 setups
Genes showing differential alternative splicing in SARS-CoV-2 have a similar functional profile to those in SARS-CoV and MERS, affecting a diverse set of genes and biological functions related to virus biology.
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Has reproduction · 50
The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression.
PMID 38817614 · PMC11137207 · Frontiers in immunology · 2024 · 7 claims · 7 setups
Most published adult/other-cohort sepsis gene signatures have limited utility for infant sepsis; only 2 of 7 achieved >80% accuracy in infants