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).

• Deep learning based protocol to construct an immune-related gene network of host-pathogen interactions in plants.

  PMID 36525344 · PMC9791427 · STAR protocols · 2023 · 6 claims · 6 setups

  Has reproduction · 96

  A deep-learning protocol (DLNet) ranks genes by their contribution to classifying treatment versus control expression data, identifying genes involved in host defense against pathogens.

  oryza rice merged top-ranked affymetrix microarray batch

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 8 claims · 5 setups

  Has reproduction · 62

  A DNN model built on 34 top-ranked hub genes achieves the highest prediction accuracy (AUC 92.11%) for distinguishing primary from bone-metastasized tumors

  breast degs geo tcga microarray protein-protein machine

• Function2Gene: a gene selection tool to increase the power of genetic association studies by utilizing public databases and expert knowledge.

  PMID 18631403 · PMC2500032 · BMC bioinformatics · 2008 · 6 claims · 5 setups

  Full-text index only

  Function2Gene is a set of Perl programs that queries public databases (NCBI, GeneCards, Harvester, with Uniprot/Ensembl also supported) using expert-selected keywords to rank genes by prior probability of disease association.

  gene nuclear sle tdt keyword-based snp transmission

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

  Full-text index only

  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate