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 · 74
Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer's Disease.
PMID 36518809 · PMC9744611 · Computational intelligence and neuroscience · 2022 · 7 claims · 6 setups
AE networks trained on the 266 shared DEGs reveal a comorbidity (positive correlation) relationship between Alzheimer's disease and lung cancer, rather than the inverse relationship suggested by prior epidemiological studies.
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Has reproduction · 69
Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.
PMID 34601390 · PMC8483812 · Computers in biology and medicine · 2021 · 8 claims · 8 setups
COVID-19 and neurological diseases (NDs) share pathophysiological connections that influence disease progression and severity
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Has reproduction · 100
Exploring Gene Expression Patterns in Alzheimer's Disease Using a Human Microarray Data Meta-Analysis.
PMID 41744654 · PMC12938635 · Biology · 2026 · 7 claims · 7 setups
A meta-analysis of eight microarray studies (10 sub-studies) produced a combined list of 4218 statistically significant DEGs between AD and healthy brain at an adjP cut-off of 0.001
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The role of proteomics in depression research.
PMID 19997739 · PMC2940035 · European archives of psychiatry and clinical neuroscience · 2010 · 8 claims · 8 setups
Proteomics offers a complementary, functional-endpoint approach that can elucidate MDD pathophysiological mechanisms and biomarkers beyond transcriptomic/targeted studies
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The process chain for peptidomic biomarker discovery.
PMID 16410650 · PMC3850862 · Disease markers · 2006 · 8 claims · 3 setups
Peptidomics (comprehensive analysis of peptides and small proteins <20 kDa) fills a methodological gap left by standard proteomics, which mainly addresses proteins in the ~10-200 kDa range.
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[Research progress in SELDI-TOF MS and its clinical applications].
PMID 17168305 · PMC7148935 · Sheng wu gong cheng xue bao = Chinese journal of biotechnology · 2006 · 4 claims · 4 setups
Proteinchip profiling based on SELDI-TOF MS is a powerful and innovative proteomic technology for biomarker discovery and diagnostic/prognostic assay development.