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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Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.
PMID 16188928 · PMC4631381 · Bioinformatics (Oxford, England) · 2005 · 7 claims · 4 setups
Genes upregulated in squamous cell lung cancer are highly connected (well-connected) nodes in the protein interactome
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Has reproduction · 82
SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis.
PMID 30698691 · PMC6354025 · GigaScience · 2019 · 8 claims · 5 setups
SMAGEXP integrates the metaMA and metaRNASeq R packages into the Galaxy platform to provide a unified gene expression meta-analysis tool suite
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Proteomic analysis of serum in lung cancer induced by 3-methylcholanthrene.
PMID 19794824 · PMC2753780 · Journal of biomedicine & biotechnology · 2009 · 7 claims · 4 setups
141 protein spots are differentially expressed between normal rat sera and MCA-induced lung cancer rat sera (82 overexpressed, 59 underexpressed)
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Urinary proteomic profiling for diagnostic bladder cancer biomarkers.
PMID 19811072 · PMC3422861 · Expert review of proteomics · 2009 · 8 claims · 8 setups
Single protein biomarkers (e.g., NMP-22, BTA) suffer from high false-positive rates and none have replaced cystoscopy or cytology for bladder cancer detection.
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Has reproduction · 84
AI-assisted discovery of an ethnicity-influenced driver of cell transformation in esophageal and gastroesophageal junction adenocarcinomas.
PMID 36134663 · PMC9675486 · JCI insight · 2022 · 8 claims · 8 setups
An AI-guided Boolean network approach (BoNE) models transcriptomic continuum states of normal esophagus, BE, and EAC to derive classifier gene signatures
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Independent component analysis reveals new and biologically significant structures in micro array data.
PMID 16762055 · PMC1557674 · BMC bioinformatics · 2006 · 7 claims · 8 setups
ICA applied to three microarray datasets reveals many biologically significant components, including low-ranking ones not obvious by rank alone
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Mutant, wild type, or overall p53 expression: freedom from clinical progression in tumours of astrocytic lineage.
PMID 15494720 · PMC2409947 · British journal of cancer · 2004 · 8 claims · 7 setups
Significant overexpression of p53 protein was found in 48% of 74 astrocytic tumours