Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction

Methods

Volumn 67, Issue 3, 2014, Pages 344-353

  Kim, Dokyoon ^a,b   Shin, Hyunjung ^c   Sohn, Kyung Ah ^c   Verma, Anurag ^b   Ritchie, Marylyn D ^b   Kim, Ju Han ^a,d  

^a Seoul National University College of Medicine   (South Korea)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c Ajou University   (South Korea)

^d Seoul National University   (South Korea)

Author keywords

Clinical outcome prediction; Data integration; Inter relationship; Multi omics data; Ovarian cancer; TCGA

Indexed keywords

MICRORNA;

AREA UNDER THE CURVE; ARTICLE; CONCEPTUAL FRAMEWORK; CYSTADENOCARCINOMA; FEMALE; GENE EXPRESSION; GENOMICS; HUMAN; METHYLATION; NEOPLASM; PREDICTION; PRIORITY JOURNAL; GENE EXPRESSION PROFILING; GENETICS; OVARIAN NEOPLASMS; PERSONALIZED MEDICINE; PROCEDURES; PROGNOSIS; TREATMENT OUTCOME;

CYSTADENOCARCINOMA; FEMALE; GENE EXPRESSION PROFILING; GENOMICS; HUMANS; INDIVIDUALIZED MEDICINE; OVARIAN NEOPLASMS; PROGNOSIS; TREATMENT OUTCOME;

EID: 84901411948     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.02.003     Document Type: Article

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