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 · 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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Full-text index only
Comprehensive genomic characterization defines human glioblastoma genes and core pathways.
PMID 18772890 · PMC2671642 · Nature · 2008 · 8 claims · 5 setups
NF1 is a genuine human glioblastoma suppressor gene, inactivated by mutation, deletion, or expression loss in at least 23% of GBM samples
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Full-text index only
Comparison of multidimensional shotgun technologies targeting tissue proteomics.
PMID 19960471 · PMC3465977 · Electrophoresis · 2009 · 6 claims · 4 setups
CITP-based multidimensional separation achieves superior overall proteome performance (more total peptide, distinct peptide, and distinct protein identifications) than SCX/MuDPIT under matched conditions
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Full-text index only
Glioblastoma subclasses can be defined by activity among signal transduction pathways and associated genomic alterations.
PMID 19915670 · PMC2771920 · PloS one · 2009 · 8 claims · 6 setups
Proteomic analysis of glioma samples reveals three signaling subclasses of GBM associated with predominant EGFR activation, PDGFR activation, or loss of NF1
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Has reproduction · 86
RNASEQR--a streamlined and accurate RNA-seq sequence analysis program.
PMID 22199257 · PMC3315322 · Nucleic acids research · 2012 · 8 claims · 7 setups
RNASEQR is a new RNA-seq mapper/aligner that combines a BWT-based (Bowtie) transcriptomic/genomic alignment with hash-based BLAT local alignment in three sequential steps: transcriptome mapping, novel exon detection, and anchor-and-align novel splice junction identification.
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Has reproduction · 59
Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.
PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups
Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort