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).

• Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

  PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups

  Has reproduction · 96

  Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.

  peripheral pbmc datasets hg-u133 gene bulk machine

• Improving melanoma classification by integrating genetic and morphologic features.

  PMID 18532874 · PMC2408611 · PLoS medicine · 2008 · 7 claims · 5 setups

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  BRAF-mutant melanomas show distinct morphological features (upward migration and nesting of intraepidermal melanocytes, epidermal thickening, sharper lateral demarcation, larger/rounder/more pigmented tumor cells) compared to non-mutant melanomas

  archival same subset patients histopathological mutation quantitative

• Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature.

  PMID 37076665 · PMC10115855 · NPJ precision oncology · 2023 · 8 claims · 8 setups

  Has reproduction · 50

  A convergent-phenotype-based seed gene/co-expression method can extract consensus gene expression signatures predictive of response to chemotherapeutic drugs in the GDSC database

  epithelial-based tcga gdsc muscle-invasive differential co-expression signature

• Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.

  PMID 15784611 · PMC1069129 · Nucleic acids research · 2005 · 7 claims · 8 setups

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  Position-specific phylogenetic features describing evolutionary conservation at a site (e.g. SIFT score, normalized site entropy, residue frequency change) are the best individual discriminators of disease-causing versus neutral GPCR mutations.

  dbsnp gpcr transmembrane sequence six-frame sift logistic