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).

• Predicting FOX gene candidates for oxic nitrogen fixation using multi-omic machine learning and comparative bioinformatics.

  PMID 41764348 · PMC13056922 · Scientific reports · 2026 · 8 claims · 6 setups

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  Random Forest, XGBoost, and logistic regression classifiers can meaningfully differentiate literature-validated FOX genes from conserved non-essential genes, with Random Forest achieving the best ROC-AUC (~0.80)

  anabaena diazotrophic gene-level trained bulk quantitative transcription-start-site-derived

• Parameter-efficient fine-tuning enables scalable transfer of regulatory sequence models to novel contexts.

  PMID 41618434 · PMC12930932 · Genome biology · 2026 · 8 claims · 7 setups

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  PEFT enables accurate transfer of Borzoi to new datasets while significantly reducing GPU memory and runtime compared to joint training or full fine-tuning

  gtex encode wi-38 thp-1 bulk eqtl variant-flowfish