Multiple approaches to data-mining of proteomic data based on statistical and pattern classification methods

Proteomics

Volumn 3, Issue 9, 2003, Pages 1704-1709

  Tatay, Jacob W ^a   Feng, Xin ^b   Sobczak, Nancy ^c   Jiang, Hao ^b   Chen, Chin Fu ^c   Kirova, Roumyana ^b   Struble, Craig ^b   Wang, Nan Jiang ^c   Tonellato, Peter J ^c  

^a UNIVERSITY OF WISCONSIN PARKSIDE   (United States)

^b MARQUETTE UNIVERSITY   (United States)

^c MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Artificial neural networks; Fuzzy logic; Principle component analysis; Support vector machines

Indexed keywords

CONFERENCE PAPER; DATA ANALYSIS; DISEASE CLASSIFICATION; MASS SPECTROMETRY; MATHEMATICAL ANALYSIS; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DETERMINATION; PROTEOMICS; STATISTICAL ANALYSIS;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; DISEASE; HUMANS; MASS SPECTROMETRY; NEURAL NETWORKS (COMPUTER); PROTEINS; PROTEOMICS;

EID: 0141520576     PISSN: 16159853     EISSN: None     Source Type: Journal    
DOI: 10.1002/pmic.200300512     Document Type: Conference Paper

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