Feature selection on high throughput SELDI-TOF mass-spectrometry data for identifying biomarker candidates in ovarian and prostate cancer

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2006, Pages 174-179

  Plant, Claudia ^a   Osl, Melanie ^a   Tilg, Bernhard ^a   Baumgartner, Christian ^a  

^a UNIVERSITY FOR HEALTH SCIENCES   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DISEASES; FEATURE EXTRACTION; FILTRATION; MASS SPECTROMETRY; UROLOGY;

CURSE OF DIMENSIONALITY; HIGH THROUGHPUT; PROSTATE CANCERS; PROTEOMIC; SELDI-TOF; SELDI-TOF MS; SELECTION FRAMEWORK;

BIOMARKERS;

EID: 38549114221     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icdmw.2006.80     Document Type: Conference Paper

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