A Neural network approach to multi-biomarker panel development based on LC/MS/MS proteomics profiles: A case study in breast cancer

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2009, Pages

  Zhang, Fan ^a,c   Chen, Jake Y ^a,b,c  

^a Indiana University   (United States)

^b Biology SL332   (United States)

^c INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BREAST CANCER; BREAST CANCER DIAGNOSIS; DATA ANALYSIS METHODS; DETECTABILITY; GENERAL MODEL; HUMAN DISEASE; INHERENT VARIABILITY; LC/MS/MS; LIQUID CHROMATOGRAPHY-TANDEM MASS SPECTROMETRY; MARKER PROTEINS; PREDICTION PERFORMANCE; PROTEOMICS; RECEIVER OPERATING CHARACTERISTICS; STANDARD ANALYSIS; TECHNOLOGY PLATFORMS; TESTING DATA;

AMINES; BIOMARKERS; CHROMATOGRAPHIC ANALYSIS; COMPUTATIONAL METHODS; DIAGNOSIS; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; MOLECULAR BIOLOGY; NEURAL NETWORKS; PLASMAS; PROTEINS; REGRESSION ANALYSIS; STATISTICAL TESTS;

ANALYSIS OF VARIANCE (ANOVA);

EID: 70449632949     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2009.5255456     Document Type: Conference Paper

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