2019
Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms
Zyla J, Marczyk M, Domaszewska T, Kaufmann SHE, Polanska J, Weiner J. Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms. Bioinformatics 2019, 35: 5146-5154. PMID: 31165139, PMCID: PMC6954644, DOI: 10.1093/bioinformatics/btz447.Peer-Reviewed Original ResearchConceptsReal-world datasetsEvaluation metricsCernoNovel algorithmReproducible scienceOnline implementationComputational timeFalse positive ratePractical reproducibilityFast algorithmSupplementary dataAlgorithmRelated dataNovel approachDatasetR packageEnrichment algorithmPositive rateMetricsImplementationEssential partGS sizeRepositoryPackage
2017
Reproducibility of Finding Enriched Gene Sets in Biological Data Analysis
Zyla J, Marczyk M, Polanska J. Reproducibility of Finding Enriched Gene Sets in Biological Data Analysis. Advances In Intelligent Systems And Computing 2017, 616: 146-154. DOI: 10.1007/978-3-319-60816-7_18.Peer-Reviewed Original Research