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 deleterious nsSNPs: an analysis of sequence and structural attributes.

  PMID 16630345 · PMC1489951 · BMC bioinformatics · 2006 · 8 claims · 7 setups

  Full-text index only

  Sequence conservation (PSIC score difference) at the nsSNP position is the single most useful attribute for predicting deleterious vs neutral status.

  swissprot nssnp-containing nssnps machine single-attribute sequence

• Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.

  PMID 34143800 · PMC8213194 · PloS one · 2021 · 7 claims · 6 setups

  Has reproduction · 75

  306 overlapping DEGs (265 up-regulated, 41 down-regulated) were identified across three independent GEO datasets in EOC vs normal ovarian tissue.

  eoc overlapping tcga microarray kegg protein-protein

• Integrated Analysis of Multiple Microarrays Based on Raw Data Identified Novel Gene Signatures in Recurrent Implantation Failure.

  PMID 35197930 · PMC8859149 · Frontiers in endocrinology · 2022 · 6 claims · 7 setups

  Has reproduction · 85

  Robust Rank Aggregation (RRA) can integrate DEG lists from multiple independent RIF microarray datasets to identify robust DEGs.

  endometrium integrated robust ppi microarray robust gene

• Transcriptome and machine learning analysis of the impact of COVID-19 on mitochondria and multiorgan damage.

  PMID 38295140 · PMC10830027 · PloS one · 2024 · 6 claims · 7 setups

  Has reproduction · 71

  Potential cardiac, hepatic, and renal impairments in COVID-19 are associated with ACE2, inflammatory cytokine storms, and mitochondrial pathways.

  nasopharyngeal heart leukocytes blood bulk pathway machine

• Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.

  PMID 37847658 · PMC10628388 · Bioinformatics (Oxford, England) · 2023 · 7 claims · 3 setups

  Has reproduction · 67

  PSPred-ALE, a deep learning predictor using a self-adaptive learning embedding algorithm, automatically extracts contextual sequence features and identifies SARS-CoV-2 phosphorylation sites without feature engineering.

  lung peptide same bulk deep traditional