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Class prediction models of thrombocytosis using genetic biomarkers

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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE12295
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Using custom spotted oligonucelotide platelet-focused arrays, platelet samples were compared. 48 health controls, 23 reactive thrombocytosis (RT) and 24 essential thrombocythemia (ET) samples were compared. An 11-biomarker gene subset was identified that discriminated among the three cohorts with 86.3% accuracy. 70 mer oligonucleotides were spotted in quadruplicate and hybridized versus reference RNA in two color method. Spiked control RNAs were also included.
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2012-03-20
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