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).

• Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.

  PMID 31836713 · PMC6911112 · Nature communications · 2019 · 8 claims · 6 setups

  Has reproduction · 100

  Exploratory adaptation (stochastic gene-regulatory network perturbation) explains how GBM cells adapt phenotypically across spatially distinct tumor regions

  patient-derived low-grade tf-gene single-sample bulk differential gene

• Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme.

  PMID 33072547 · PMC7533644 · Frontiers in oncology · 2020 · 8 claims · 7 setups

  Has reproduction · 89

  A GSVA-based method for constructing a metabolic subpathway activity score matrix accurately identifies abnormal GBM metabolic targets

  metabolic gbm tcga u87-mg k-clique gsva-based survival

• Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.

  PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 8 claims · 8 setups

  Has reproduction

  Tree-based (XGBoost, LightGBM) and deep-learning (TabNet) tabular ML classifiers achieve state-of-the-art somatic vs germline classification in tumor-only WES samples, outperforming PureCN.

  tcga same metastatic tumor-only whole-exome wes copy-number

• 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

  Has reproduction · 59

  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

  pancreatic rna-seq liver tumor bulk machine multi-label

• Cancer-wide in silico analyses using differentially expressed genes demonstrate the functions and clinical relevance of JAG, DLL, and NOTCH.

  PMID 39074091 · PMC11285958 · PloS one · 2024 · 7 claims · 8 setups

  Full-text index only

  JAG, DLL, and NOTCH family gene/protein expression varies diversely across 15 cancer types relative to normal tissue, sometimes discordant between mRNA and protein levels.

  tumor degs cancer jag bulk proteomics gene