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).

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

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  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term

• Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.

  PMID 16188928 · PMC4631381 · Bioinformatics (Oxford, England) · 2005 · 7 claims · 4 setups

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  Genes upregulated in squamous cell lung cancer are highly connected (well-connected) nodes in the protein interactome

  squamous ophid degs oligonucleotide interaction connectivity

• Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.

  PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups

  Has reproduction · 80

  Combining WGCNA hub genes and VAE 10-dimensional representation as features for an SVM classifier achieves high accuracy in predicting CRC

  colorectal same combined meturquoise microarray differential batch

• 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

• Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer's Disease.

  PMID 36518809 · PMC9744611 · Computational intelligence and neuroscience · 2022 · 7 claims · 6 setups

  Has reproduction · 74

  Autoencoder networks based on 266 shared DEGs reveal a comorbidity (positive) relationship between Alzheimer's disease and lung cancer.

  brain lung integrated shared microarray differential autoencoder

• Connecting synthetic chemistry decisions to cell and genome biology using small-molecule phenotypic profiling.

  PMID 19825513 · PMC2787914 · Current opinion in chemical biology · 2009 · 8 claims · 8 setups

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  Multidimensional phenotypic profiling leverages information content from multiple parallel or multiplexed measurements of compound action on cells, unlike hierarchical screening which filters to few 'interesting' compounds.

  one nci60 cerevisiae cancer multidimensional cellular two-color

• Evolutionary origins of human apoptosis and genome-stability gene networks.

  PMID 18832373 · PMC2577361 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  The entanglement of DNA repair, chromosome stability and apoptosis gene networks appears with the caspase gene family and the antiapoptotic gene BCL2.

  apoptosis fully same orthologous protein-protein comparative orthology

• 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