A prognostic test to predict the risk of metastasis in uveal melanoma based on a 15-gene expression profile

Methods in Molecular Biology

Volumn 1102, Issue , 2014, Pages 427-440

  Harbour, J William ^a  

^a UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

Author keywords

Gene expression profiling; Machine learning algorithm; Metastasis; Prognosis; Support vector machine; Uveal melanoma

Indexed keywords

BRCA1 ASSOCIATED PROTEIN 1; FORMALDEHYDE; PARAFFIN; TUMOR PROTEIN; UNCLASSIFIED DRUG;

ARTICLE; CANCER DIAGNOSIS; CANCER PROGNOSIS; CANCER RISK; CHROMOSOME 3; CHROMOSOME MARKER; CLINICAL PROTOCOL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FINE NEEDLE ASPIRATION BIOPSY; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE MUTATION; HEALTH CENTER; HIGH RISK PATIENT; HUMAN; HUMAN TISSUE; LABORATORY; LAW; LOW RISK POPULATION; METASTASIS; MICROARRAY ANALYSIS; MONOSOMY; MULTICENTER STUDY; PATHOLOGIST; PRIORITY JOURNAL; PROSPECTIVE STUDY; REAL TIME POLYMERASE CHAIN REACTION; RNA ISOLATION; TISSUE PRESERVATION; UVEA MELANOMA;

GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MELANOMA; NEOPLASM METASTASIS; PROGNOSIS; REAL-TIME POLYMERASE CHAIN REACTION; RISK FACTORS; RNA, NEOPLASM; UVEAL NEOPLASMS;

EID: 84891798085     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-62703-727-3_22     Document Type: Article

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