Publication | Open Access

Identifying potential signatures for atherosclerosis in the context of predictive, preventive, and personalized medicine using integrative bioinformatics approaches and machine-learning strategies

EngineeringIntegrative Bioinformatics ApproachesData ScienceTranslational BioinformaticsMedicineComputational BiologyMachine-learning StrategiesBiostatisticsOmicsPotential SignaturesSystems BiologyDisease ClassificationBioinformaticsAtherosclerosisHealth InformaticsComputational Medicine