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).

• Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods.

  PMID 34307679 · PMC8272456 · BioMed research international · 2021 · 7 claims · 2 setups

  Has reproduction · 32

  A pipeline combining Boruta and mRMR feature selection with incremental feature selection (IFS) was used to identify COVID-19-specific transcriptomic biomarkers from blood gene expression data.

  blood bulk kegg

• Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.

  PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups

  Has reproduction · 44

  DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection

  nasopharyngeal same dygaf-ranked bulk differential random

• Methylation patterns of the nasal epigenome of hospitalized SARS-CoV-2 positive patients reveal insights into molecular mechanisms of COVID-19.

  PMID 40170038 · PMC11963311 · BMC medical genomics · 2025 · 7 claims · 7 setups

  Has reproduction

  Differential DNA methylation occurs predominantly in intergenic regions and low methylated regions (LMRs), highlighting the role of distal regulatory elements in COVID-19 severity.

  nasal aggregated genes differentially whole-genome methylation tiling