2016
Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov
Xu J, Lee H, Zeng J, Wu Y, Zhang Y, Huang L, Johnson A, Holla V, Bailey A, Cohen T, Meric-Bernstam F, Bernstam E, Xu H. Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov. Journal Of The American Medical Informatics Association 2016, 23: 750-757. PMID: 27013523, PMCID: PMC4926744, DOI: 10.1093/jamia/ocw009.Peer-Reviewed Original Research
2015
Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations
Chen Y, Sun J, Huang L, Xu H, Zhao Z. Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations. BioMed Research International 2015, 2015: 491502. PMID: 26539502, PMCID: PMC4619847, DOI: 10.1155/2015/491502.Peer-Reviewed Original ResearchConceptsMachine learningF-measureAvailable big dataSupport vector machineBig dataVector machineClassification experimentsAccurate classificationCancer classificationGene function informationMachineSomatic mutation informationClassificationMutation informationFunction informationLearningGene symbolsInformationGene featuresGreat opportunityPerformanceSomatic mutation dataMutation dataAccuracyPredictionOncogenes and tumor suppressor genes: comparative genomics and network perspectives
Zhu K, Liu Q, Zhou Y, Tao C, Zhao Z, Sun J, Xu H. Oncogenes and tumor suppressor genes: comparative genomics and network perspectives. BMC Genomics 2015, 16: s8. PMID: 26099335, PMCID: PMC4474543, DOI: 10.1186/1471-2164-16-s7-s8.Peer-Reviewed Original ResearchConceptsTumor suppressor geneEssential genesTSG proteinsEssential proteinsHuman protein-protein interaction networkCancer drug target proteinsSuppressor geneWhole human interactomeProtein-protein interaction networkCancer developmentMutation frequencyDirect interactionDrug target identificationCancer drug targetSomatic mutationsDrug target proteinsDrug target genesComparative genomicsLow mutation frequencyCellular functionsHuman interactomeMutation patternsGenetic variationGene setsHigh mutation frequency