Novel approaches to visualization and data mining reveals diagnostic information in the low amplitude region of serum mass spectra from ovarian cancer patients

Disease Markers

Volumn 19, Issue 4-5, 2003, Pages 197-207

  Johann Jr , Donald J ^a,f   McGuigan, Michael D ^b   Tomov, Stanimire ^b   Fusaro, Vincent A ^a   Ross, Sally ^a   Conrads, Thomas P ^c   Veenstra, Timothy D ^c   Fishman, David A ^d   Whiteley, Gordon R ^c   Petricoin, Emanuel F ^e   Liotta, Lance A ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

^b BROOKHAVEN NATIONAL LABORATORY   (United States)

^c SAIC FREDERICK INC   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

^e CENTER FOR BIOLOGICS EVALUATION AND RESEARCH   (United States)

^f CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

Author keywords

Data visualization; Diagnosis; Ovarian cancer; SELDI TOF MS

Indexed keywords

BIOLOGICAL MARKER;

AMPLITUDE MODULATION; ARTICLE; BLOOD ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; DNA MICROARRAY; FEMALE; GENETIC ANALYSIS; HUMAN; MAJOR CLINICAL STUDY; MASS SPECTROMETRY; OVARY CANCER; PRIORITY JOURNAL; PROTEOMICS; SIGNAL NOISE RATIO;

FALLOPIA;

EID: 3042835504     PISSN: 02780240     EISSN: None     Source Type: Journal    
DOI: 10.1155/2004/549372     Document Type: Article

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