2022
TidyMass an object-oriented reproducible analysis framework for LC–MS data
Shen X, Yan H, Wang C, Gao P, Johnson CH, Snyder MP. TidyMass an object-oriented reproducible analysis framework for LC–MS data. Nature Communications 2022, 13: 4365. PMID: 35902589, PMCID: PMC9334349, DOI: 10.1038/s41467-022-32155-w.Peer-Reviewed Original ResearchConceptsObject-oriented computational frameworkComputational frameworkExtensible toolMetabolomics data analysisData structureWorkflow needsModular architectureOwn pipelinesData processingMultiple toolsAnalysis frameworkDesign philosophyR packageFrameworkLC-MS dataData analysisToolUsersArchitectureTraceabilityPipelineProcessingPackageGrammar
2020
A SAS Macro for Cosinor Analysis of Automated Heart Rate Data in the ICU
Doyle M, Murphy T, Knauert M. A SAS Macro for Cosinor Analysis of Automated Heart Rate Data in the ICU. Innovation In Aging 2020, 4: 210-210. PMCID: PMC7740472, DOI: 10.1093/geroni/igaa057.679.Peer-Reviewed Original Research
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
modSaRa: a computationally efficient R package for CNV identification
Xiao F, Niu Y, Hao N, Xu Y, Jin Z, Zhang H. modSaRa: a computationally efficient R package for CNV identification. Bioinformatics 2017, 33: 2384-2385. PMID: 28453611, PMCID: PMC5860124, DOI: 10.1093/bioinformatics/btx212.Peer-Reviewed Original ResearchConceptsComputational complexityHigh computational complexityR packageOptimal computational complexityUser-friendly R packageEfficient R packageSupplementary dataCurrent versionComputational algorithmDesirable accuracyComplexityPackageComprehensive toolCNV identificationDownloadAlgorithmVariant identificationBioinformaticsImplementationTypes of variationRCPPAccuracyIntegrationStepTool
2004
VitaPad: visualization tools for the analysis of pathway data
Holford M, Li N, Nadkarni P, Zhao H. VitaPad: visualization tools for the analysis of pathway data. Bioinformatics 2004, 21: 1596-1602. PMID: 15564306, DOI: 10.1093/bioinformatics/bti153.Peer-Reviewed Original ResearchConceptsCross-platform applicationHigh-resolution graphicsGraph layout algorithmsBiological pathway diagramsPathway diagramsXML formatUser interfaceLayout algorithmVisualization toolsIntuitive controlEasy extensionPathway dataGraphicsUsersMicroarray dataAlgorithmSoftwareToolFormatDataHongyuInterfaceIntegrationPackageApplications
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply