Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer

BMC Genomics

Volumn 16, Issue 9, 2015, Pages

  Kwon, Min Seok ^a   Kim, Yongkang ^a   Lee, Seungyeoun ^b   Namkung, Junghyun ^c   Yun, Taegyun ^c   Yi, Sung Gon ^c   Han, Sangjo ^c   Kang, Meejoo ^d   Kim, Sun Whe ^d   Jang, Jin Young ^d   Park, Taesung ^a  

^a Seoul National University   (South Korea)

^b Sejong University   (South Korea)

^c SK Telecom   (South Korea)

^d Seoul National University Hospital   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA; MICRORNA; TRANSCRIPTOME; TUMOR MARKER;

ARTICLE; CANCER DIAGNOSIS; CONTROLLED STUDY; DATA ANALYSIS; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; GENE ACTIVITY; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE INTERACTION; GENE TARGETING; GENETIC DATABASE; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; PANCREAS ADENOCARCINOMA; RELIABILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; VALIDATION STUDY; BIOLOGY; GENETICS; METABOLISM; PANCREATIC NEOPLASMS;

BIOMARKERS, TUMOR; COMPUTATIONAL BIOLOGY; HUMANS; MICRORNAS; PANCREATIC NEOPLASMS; RNA, MESSENGER; TRANSCRIPTOME;

EID: 84969528777     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-16-S9-S4     Document Type: Article

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