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).

• Optimal scaling of digital transcriptomes.

  PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 67

  Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.

  tissues bodymap mapped 16-sample bulk read transcript

• Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.

  PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups

  Full-text index only

  A combined linguistic+statistical+rule-based method achieves precision 0.61 and recall 0.97 (f=0.74) detecting yeast protein-protein interactions across 12,300 Medline abstracts.

  yeast yeast-related interaction random dictionary-based manual graph

• ADaCGH: A parallelized web-based application and R package for the analysis of aCGH data.

  PMID 17710137 · PMC1940324 · PloS one · 2007 · 8 claims · 4 setups

  Full-text index only

  ADaCGH implements eight CNA detection methods, including the best-performing ones from recent reviews (CBS, GLAD, CGHseg, HMM)

  30-node web-based cluster simulated computational web comparison

• The specificity and polymorphism of the MHC class I prevents the global adaptation of HIV-1 to the monomorphic proteasome and TAP.

  PMID 18949050 · PMC2569417 · PloS one · 2008 · 6 claims · 5 setups

  Full-text index only

  Within individual hosts, proteasome and TAP escape mutations in HIV-1 occur frequently

  hiv-1 hla-genotyped predicted bioinformatic longitudinal ancestral

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk