Publication | Closed Access
An unsupervised machine learning method for discovering patient clusters based on genetic signatures
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Citations
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References
2018
Year
Patient ClustersCluster ComputingEvolutionary Data MiningEngineeringData ScienceData MiningPattern RecognitionGenetic SignaturesUnsupervised MachineComputational BiologyKnowledge DiscoveryBiostatisticsUnsupervised Machine LearningPublic HealthUnsupervised LearningBioinformaticsHealth InformaticsOptimization-based Data Mining
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2000 | 43.3K | |
PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses Shaun Purcell, Benjamin M. Neale, Katherine EO Todd-Brown, The American Journal of Human Genetics Genome-wide Association StudyWhole-genome AssociationLinkage DisequilibriumGenotype-phenotype AssociationPopulation-based Linkage Analyses | 2007 | 34.9K |
1987 | 19.8K | |
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2014 | 10.9K | |
2016 | 9K | |
2007 | 6.8K | |
1984 | 6.4K |
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