A neural network approach to multi-biomarker panel discovery by high-throughput plasma proteomics profiling of breast cancer

BMC Proceedings

Volumn 7, Issue , 2013, Pages

  Zhang, Fan ^a,b   Chen, Jake ^c,d,e   Wang, Mu ^d   Drabier, Renee ^a  

^a UNIVERSITY OF NORTH TEXAS   (United States)

^b UNIVERSITY OF NORTH TEXAS HEALTH SCIENCE CENTER   (United States)

^c INDIANA UNIVERSITY   (United States)

^d INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e WENZHOU MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; PLASMA PROTEIN;

ACCURACY; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; CANCER SCREENING; CANCER STAGING; CLINICAL ARTICLE; CONFERENCE PAPER; CONTROLLED STUDY; FEMALE; GENETIC VARIABILITY; HIGH THROUGHPUT SCREENING; HUMAN; LIQUID CHROMATOGRAPHY-MASS SPECTROMETRY; PEPTIDE ANALYSIS; PREDICTION; PROTEIN ANALYSIS; PROTEIN BLOOD LEVEL; PROTEOMICS; SENSITIVITY AND SPECIFICITY; UNITED STATES; VALIDATION STUDY;

EID: 85018192922     PISSN: None     EISSN: 17536561     Source Type: Journal    
DOI: 10.1186/1753-6561-7-S7-S10     Document Type: Conference Paper

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