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).

• Expression Patterns of Immune Genes Reveal Heterogeneous Subtypes of High-Risk Neuroblastoma.

  PMID 32629858 · PMC7408437 · Cancers · 2020 · 8 claims · 8 setups

  Has reproduction · 73

  Unsupervised biclustering of 283 NB-specific immune genes stratifies HR-NB into two reproducible subtypes: ultra-high-risk (UHR-NB) and (revised) HR-NB.

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• Wx: a neural network-based feature selection algorithm for transcriptomic data.

  PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups

  Has reproduction · 50

  The Wx algorithm ranks genes using a DI score reflecting each gene's classification power for distinguishing two groups.

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• Unveiling prognostics biomarkers of tyrosine metabolism reprogramming in liver cancer by cross-platform gene expression analyses.

  PMID 32542016 · PMC7295234 · PloS one · 2020 · 7 claims · 8 setups

  Has reproduction · 51

  Five tyrosine catabolic enzymes (TAT, HPD, HGD, GSTZ1, FAH) are downregulated in HCC compared to normal liver at mRNA and/or protein level

  oncomine tcga-lihc gse89377 hcc pan-cancer bulk microarray

• The relationship between PLOD1 expression level and glioma prognosis investigated using public databases.

  PMID 34040895 · PMC8127981 · PeerJ · 2021 · 8 claims · 8 setups

  Has reproduction · 79

  PLOD1 mRNA expression is significantly higher in glioma tissue than in normal brain tissue

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• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.

  PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 8 claims · 7 setups

  Has reproduction · 84

  DeepProg is a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data

  cancer breast hepatocarcinoma tcga multi-omics gene rna-seq

• iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.

  PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal

  nsclc coad brca tcga scrna-seq bulk rna-seq

• Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.

  PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 8 claims · 8 setups

  Has reproduction · 71

  AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)

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