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 · 62
Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.
PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups
A DNN model using the top 34 betweenness-centrality-ranked hub genes predicts bone metastasis with AUC of 92.11% on the GEO validation data.
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Has reproduction · 73
FRMD8 inhibits tumor metastasis in BRCA1-associated TNBC by negatively regulating tmTNF-α.
PMID 40619383 · PMC12229025 · Cellular & molecular biology letters · 2025 · 8 claims · 8 setups
Low FRMD8 expression in BRCA1-mutant breast cancer cells significantly enhances metastatic potential to various organs
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Has reproduction · 100
Proneural-mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in glioblastoma.
PMID 38433919 · PMC10905000 · iScience · 2024 · 8 claims · 8 setups
The four proposed GBM molecular subtypes (Proneural, Neural, Classical, Mesenchymal / NPC-like, OPC-like, AC-like, MES-like) are not mutually exclusive or independent of one another
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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 Galaxy to provide a unified tool suite for transcriptomics meta-analysis.
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Has reproduction · 87
Mutually exclusive teams-like patterns of gene regulation characterize phenotypic heterogeneity along the noradrenergic-mesenchymal axis in neuroblastoma.
PMID 38230570 · PMC10795782 · Cancer biology & therapy · 2024 · 8 claims · 6 setups
NOR-specific and MES-specific gene expression patterns are largely mutually exclusive, exhibiting a teams-like behavior across multiple bulk NB transcriptomic datasets
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Full-text index only
Convergence of mutation and epigenetic alterations identifies common genes in cancer that predict for poor prognosis.
PMID 18507500 · PMC2429944 · PLoS medicine · 2008 · 7 claims · 7 setups
At least 36 of the 189 newly mutated CAN genes are targets of promoter CpG island hypermethylation, often in both colon and breast cancer cell lines
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Has reproduction · 59
Integrative network modeling reveals mechanisms underlying T cell exhaustion.
PMID 32024856 · PMC7002445 · Scientific reports · 2020 · 8 claims · 6 setups
An integrative, literature-curated and data-driven gene regulatory network underlies CD8+ T cell exhaustion and accurately captures expression states in chronic infection and tumor settings.
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Has reproduction · 69
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.
PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 7 claims · 8 setups
An ensemble feature selection method based on classifier consensus identifies a robust 100-miRNA signature from TCGA data.
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Has reproduction · 95
Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.
PMID 38974967 · PMC11225361 · iScience · 2024 · 7 claims · 7 setups
Luminal breast cancer gene expression signature is closely/positively associated with an epithelial signature
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Prostate cancer genomics: towards a new understanding.
PMID 19104501 · PMC2721916 · Nature reviews. Genetics · 2009 · 8 claims · 8 setups
Multiple GWAS have identified over a dozen replicated germline SNPs each associated with a modest increase in prostate cancer risk
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Full-text index only
An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.
PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups
A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.