Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data

BMC Bioinformatics

Volumn 11, Issue , 2010, Pages

  Tang, Kai Lin ^a,b   Li, Tong Hua ^b   Xiong, Wen Wei ^b   Chen, Kai ^b  

^a SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

^b TONGJI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AVERAGE SENSITIVITIES; CLASSIFICATION PERFORMANCE; CORRELATION COEFFICIENT; DIMENSIONALITY REDUCTION; HIGH DIMENSIONALITY; PROTEOMICS TECHNOLOGY; STATISTICAL MACHINE LEARNING; STATISTICAL MOMENTS;

HIGHER ORDER STATISTICS; MASS SPECTROMETRY; MOLECULAR BIOLOGY;

DISEASES;

TUMOR MARKER;

ARTICLE; CLASSIFICATION; FEMALE; GENE EXPRESSION PROFILING; HUMAN; MASS SPECTROMETRY; METHODOLOGY; OVARY TUMOR; PROTEOMICS;

FEMALE; GENE EXPRESSION PROFILING; HUMANS; OVARIAN NEOPLASMS; PROTEOMICS; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION; TUMOR MARKERS, BIOLOGICAL;

EID: 77949413456     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-109     Document Type: Article

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