Improvements in algorithms for phenotype inference: the NAT2 example.
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Recommendations for Optimizing Tuberculosis Treatment: Therapeutic Drug Monitoring, Pharmacogenetics, and Nutritional Status ConsiderationsImpact of urinary bladder cancer risk variants on prognosis and survival.The post GWAS era: strategies to identify gene-gene and gene-environment interactions in urinary bladder cancer.Variation in NAT2 acetylation phenotypes is associated with differences in food-producing subsistence modes and ecoregions in Africa.NAT2 polymorphisms and risk for Parkinson's disease: a systematic review and meta-analysis.Algorithm for the Automated Evaluation of NAT2 Genotypes.The ultra-slow NAT2*6A haplotype is associated with reduced higher cognitive functions in an elderly study group.Rapid identification of the NAT2 genotype in tuberculosis patients by multicolor melting curve analysis.
P2860
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P2860
Improvements in algorithms for phenotype inference: the NAT2 example.
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Improvements in algorithms for phenotype inference: the NAT2 example.
@en
Improvements in algorithms for phenotype inference: the NAT2 example.
@nl
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Improvements in algorithms for phenotype inference: the NAT2 example.
@en
Improvements in algorithms for phenotype inference: the NAT2 example.
@nl
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Improvements in algorithms for phenotype inference: the NAT2 example.
@en
Improvements in algorithms for phenotype inference: the NAT2 example.
@nl
P2093
P1476
Improvements in algorithms for phenotype inference: the NAT2 example.
@en
P2093
Jan G Hengstler
Katja Ickstadt
Klaus Golka
Meinolf Blaszkewicz
Silvia Selinski
P304
P356
10.2174/1389200215666140202215717
P407
P577
2014-02-01T00:00:00Z