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).

• Comprehensive analysis of transcriptomics and radiomics revealed the potential of TEDC2 as a diagnostic marker for lung adenocarcinoma.

  PMID 39553728 · PMC11569783 · PeerJ · 2024 · 8 claims · 8 setups

  Has reproduction · 80

  WGCNA identified 214 key genes in the blue module most correlated with LUAD

  tcga-luad merged tedc2-associated a549 wgcna differential machine

• Stemness genes and miR-1247-3p expression associate with clinicopathological parameters and prognosis in lung adenocarcinoma.

  PMID 37948380 · PMC10637681 · PloS one · 2023 · 6 claims · 7 setups

  Has reproduction · 90

  Three stem cell-related genes (ORC1L, KIF20A, DLGAP5) are differentially expressed in LUAD and correlate with altered immune infiltration and reduced patient survival.

  luad differentially bulk mirna-seq microarray

• SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.

  PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 7 claims · 6 setups

  Has reproduction · 77

  SurvConvMixer reformats KEGG Pathways-in-Cancer gene expression values into pathway-level 2D gene expression images and applies a ConvMixer-based model for overall survival prediction

  luad lung bulk gene machine

• Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.

  PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 7 claims · 4 setups

  Has reproduction · 32

  A panel of 22 genetic features with Naïve Bayes can predict whether lung adenocarcinoma patient survival time is >3 years (accuracy=75%, AUC=0.81).

  tcga-luad geo bulk expression methylation

• Identifying Molecular Subtypes and 6-Gene Prognostic Signature Based on Hypoxia for Optimizing Targeted Therapies in Non-Small Cell Lung Cancer.

  PMID 35509605 · PMC9058021 · International journal of general medicine · 2022 · 8 claims · 8 setups

  Has reproduction · 59

  NSCLC samples can be classified into two molecular subtypes (C1 and C2) based on hypoxia-related gene expression via consensus clustering

  tcga-nsclc geo bulk microarray unsupervised

• Constructing an APOBEC-related gene signature with predictive value in the overall survival and therapeutic sensitivity in lung adenocarcinoma.

  PMID 37954334 · PMC10637964 · Heliyon · 2023 · 8 claims · 8 setups

  Has reproduction · 88

  APOBEC family genes are aberrantly expressed across cancers, with APOBEC3B the most consistently upregulated, and APOBEC3B/APOBEC3A are markedly altered in LUAD

  tcga tcga-luad geo beas-2b bulk somatic microarray

• Targeted and personalized immunotherapy in lung adenocarcinoma: single-cell RNA sequencing of MAFF+ tumor cells and the therapeutic potential of FOS.

  PMID 40936936 · PMC12420628 · Frontiers in immunology · 2025 · 7 claims · 8 setups

  Has reproduction · 71

  A highly stem-like C0 MAFF+ tumor cell subtype dominates invasive LUAD, producing chemokines and activating lipid metabolism

  luad tumor a549 single-cell infercnv pseudotime

• Heterogeneity and Differentiation Trajectories of Infiltrating CD8+ T Cells in Lung Adenocarcinoma.

  PMID 36358600 · PMC9658355 · Cancers · 2022 · 7 claims · 8 setups

  Has reproduction · 67

  Infiltrating CD8+ T cells in LUAD can be divided into ten transcriptionally distinct subsets: eight cytotoxic (CTL) subsets, one naive-like (NTL) subset, and one exhausted (ETL) subset.

  luad tcga cd8+ degs single-cell cibersort survival

• Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.

  PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 3 setups

  Has reproduction · 89

  Graph Random Forest (GRF) embeds graph/network information directly into the decision-tree building process by splitting on features in the k-hop neighborhood of a data-driven head-splitting node.

  scale-free non-small embryonic simulation rna-seq

• Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.

  PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups

  Has reproduction

  The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells

  ace2-transfected calu-3 luad ipsc-derived ipa sequencing convolutional