Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages 259-

  Guan, Wei ^a   Zhou, Manshui ^b   Hampton, Christina Y ^b   Benigno, Benedict B ^c   Walker, L DeEtte ^b,c   Gray, Alexander ^a   McDonald, John F ^b,c   Fernández, Facundo M ^b  

^a Georgia Institute of Technology   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c Ovarian Cancer Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC CLASSIFICATION; DIAGNOSTIC BIOMARKERS; FEATURE SELECTION METHODS; IDENTIFICATION OF PROTEINS; LIQUID CHROMATOGRAPHY/MASS SPECTROMETRY; METABOLIC CHANGES; RECURSIVE FEATURE ELIMINATION; STATISTICAL SIGNIFICANCE;

BIOMARKERS; BODY FLUIDS; CHROMATOGRAPHY; DIAGNOSIS; DISEASES; LIQUIDS; MASS SPECTROMETRY;

SUPPORT VECTOR MACHINES;

ACCURACY; ADULT; AGED; ARTICLE; BLOOD ANALYSIS; CANCER DIAGNOSIS; CLASSIFICATION; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC VALUE; ELECTROSPRAY MASS SPECTROMETRY; FEMALE; HUMAN; LIQUID CHROMATOGRAPHY; METABOLOMICS; OVARY CANCER; PREDICTION; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TIME OF FLIGHT MASS SPECTROMETRY; VALIDATION PROCESS;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; CHROMATOGRAPHY, LIQUID; COMPUTATIONAL BIOLOGY; FEMALE; HUMANS; MASS SPECTROMETRY; METABOLOMICS; MIDDLE AGED; OVARIAN NEOPLASMS; PATTERN RECOGNITION, AUTOMATED;

EID: 70349731767     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-259     Document Type: Article

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