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Volumn 72, Issue 2, 2016, Pages 575-583
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Bayesian predictive modeling for genomic based personalized treatment selection
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Author keywords
Bayesian analysis; Genomics; Partial exchangeability; Personalized medicine; Predictive probability; Unsupervised clustering
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Indexed keywords
BAYESIAN NETWORKS;
DISEASES;
GENE EXPRESSION;
PATIENT TREATMENT;
BAYESIAN;
BAYESIAN ANALYSIS;
BIOLOGICAL PHENOMENA;
GENOMICS;
PARTIAL EXCHANGEABILITY;
PERSONALIZED MEDICINES;
PREDICTIVE MODELS;
PREDICTIVE PROBABILITY;
TREATMENT SELECTION;
UNSUPERVISED CLUSTERING;
GENOME;
ACCURACY ASSESSMENT;
BAYESIAN ANALYSIS;
CANCER;
CLUSTER ANALYSIS;
COMPARATIVE STUDY;
DATA ACQUISITION;
FUTURE PROSPECT;
GENE EXPRESSION;
GENOMICS;
MEDICINE;
NUMERICAL METHOD;
NUMERICAL MODEL;
PROBABILITY;
REGRESSION ANALYSIS;
ALGORITHM;
BAYES THEOREM;
BIOMETRY;
COMPUTER ASSISTED DIAGNOSIS;
COMPUTER ASSISTED THERAPY;
COMPUTER SIMULATION;
GENE EXPRESSION PROFILING;
GENETICS;
GENOMICS;
GLIOMA;
HUMAN;
LEUKEMIA;
PERSONALIZED MEDICINE;
PROCEDURES;
STATISTICAL ANALYSIS;
STATISTICAL MODEL;
STATISTICS AND NUMERICAL DATA;
ALGORITHMS;
BAYES THEOREM;
BIOMETRY;
COMPUTER SIMULATION;
DATA INTERPRETATION, STATISTICAL;
DIAGNOSIS, COMPUTER-ASSISTED;
GENE EXPRESSION PROFILING;
GENOMICS;
GLIOMA;
HUMANS;
LEUKEMIA;
MODELS, STATISTICAL;
PRECISION MEDICINE;
THERAPY, COMPUTER-ASSISTED;
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EID: 85027931546
PISSN: None
EISSN: 15410420
Source Type: Journal
DOI: 10.1111/biom.12448 Document Type: Article |
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Times cited : (14)
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References (30)
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