Multi-level gene/MiRNA feature selection using deep belief nets and active learning

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 3957-3960

  Ibrahim, Rania ^a   Yousri, Noha A ^a   Ismail, Mohamed A ^a   El Makky, Nagwa M ^a  

^a Alexandria University The Faculty Of Engineering   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; DISEASES; FEATURE EXTRACTION; GENE EXPRESSION; RNA;

ACTIVE LEARNING; DEEP BELIEF NETS; EXPRESSION PROFILE; FEATURE SELECTION METHODS; HEPATOCELLULAR CARCINOMA; INDIVIDUAL FEATURES; INFORMATIVE GENES; MULTIPLE LEVELS;

DEEP LEARNING;

MICRORNA; TRANSCRIPTOME; TUMOR MARKER;

ALGORITHM; BIOLOGY; BREAST TUMOR; CHEMISTRY; FEMALE; GENETICS; HUMAN; LIVER CELL CARCINOMA; LIVER TUMOR; LUNG TUMOR; METABOLISM; PATHOLOGY; PROCEDURES; SUPPORT VECTOR MACHINE;

ALGORITHMS; BIOMARKERS, TUMOR; BREAST NEOPLASMS; CARCINOMA, HEPATOCELLULAR; COMPUTATIONAL BIOLOGY; FEMALE; HUMANS; LIVER NEOPLASMS; LUNG NEOPLASMS; MICRORNAS; SUPPORT VECTOR MACHINE; TRANSCRIPTOME;

EID: 84929492596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944490     Document Type: Conference Paper

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