2020
Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies
Song S, Jiang W, Hou L, Zhao H. Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies. PLOS Computational Biology 2020, 16: e1007565. PMID: 32045423, PMCID: PMC7039528, DOI: 10.1371/journal.pcbi.1007565.Peer-Reviewed Original ResearchConceptsEffect size distributionClass of methodsReal data applicationOnly summary statisticsTheoretical resultsSummary statisticsExtensive simulation resultsLD informationSimulation resultsData applicationsFirst methodImportant problemOptimal propertiesGenetic risk predictionAccurate predictionPrediction accuracyStandard PRSStatisticsPrediction method
2014
Low-Rank Modeling and Its Applications in Image Analysis
Zhou X, Yang C, Zhao H, Yu W. Low-Rank Modeling and Its Applications in Image Analysis. ACM Computing Surveys 2014, 47: 1-33. DOI: 10.1145/2674559.Peer-Reviewed Original ResearchLow-rank modelingLow-rank matrix recoveryExact low-rank matrix recoveryImage analysisMatrix recoveryClass of methodsComputer visionLow-rank matrixCollaborative filteringData miningArt algorithmsConvex programmingRank modelingMatrix completionNumerical experimentsAlgorithmGreat successRelated applicationsSignal processingModelingVariables of interestApplicationsMiningProgrammingMore attention