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).
-
Has reproduction · 85
Optimisation of the core subset for the APY approximation of genomic relationships.
PMID 36418945 · PMC9682752 · Genetics, selection, evolution : GSE · 2022 · 7 claims · 3 setups
APY approximates the full genomic relationship matrix by splitting genotyped animals into a core subset (fully dependent, direct inverse) and a non-core subset (conditionally independent given core), reducing inversion cost.
-
Full-text index only
Analyses and comparison of accuracy of different genotype imputation methods.
PMID 18958166 · PMC2569208 · PloS one · 2008 · 8 claims · 3 setups
Stronger LD produces higher imputation accuracy rates for all five methods
-
Full-text index only
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
ADaCGH implements eight CNA detection methods, including the best-performing ones from recent reviews (CBS, GLAD, CGHseg, HMM)
-
Has reproduction · 69
A hybrid empirical and parametric approach for managing ecosystem complexity: Water quality in Lake Geneva under nonstationary futures.
PMID 35733249 · PMC9245694 · Proceedings of the National Academy of Sciences of the United States of America · 2022 · 7 claims · 6 setups
A hybrid model combining empirical dynamic modeling (EDM/S-map) for biogeochemical sink terms with the equation-based Simstrat hydrodynamic model for physical source terms produces substantially better historical DOB forecasts than conventional parametric models.
-
Has reproduction · 77
Accurate chromatin marks peak calling with Omnipeak.
PMID 41521664 · PMC12784980 · Nucleic acids research · 2026 · 8 claims · 6 setups
Omnipeak is a universal unsupervised peak-calling algorithm based on a constrained three-state hidden Markov model (zero, noise, signal states)