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).

• 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

• Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers.

  PMID 36440209 · PMC9682028 · Frontiers in endocrinology · 2022 · 7 claims · 7 setups

  Has reproduction · 50

  LncRNA-mRNA competitive regulatory network topology and function differ substantially between control and cytokine-treated (IL-1β+IFN-γ) islet exosomes

  pancreatic starbase islet mrnas bulk database-derived cerna

• Differential Infiltration of Key Immune T-Cell Populations Across Malignancies Varying by Immunogenic Potential and the Likelihood of Response to Immunotherapy.

  PMID 39682743 · PMC11640164 · Cells · 2024 · 8 claims · 5 setups

  Has reproduction

  Estimated T-cell infiltration differs significantly across melanoma, bladder, ovarian, and pancreatic cancers, tracking known immunogenic potential.

  tumor melanoma orien bulk gene kaplan-meier

• Detecting tipping points of complex diseases by network information entropy.

  PMID 38960408 · PMC11221888 · Briefings in bioinformatics · 2024 · 8 claims · 4 setups

  Has reproduction · 78

  NIEE can detect critical states or tipping points in diverse data types, including bulk and single-sample expression data

  real stringdb individual genes network background sample-specific

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk