Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery

BMC Bioinformatics

Volumn 11, Issue SUPPLL.1, 2010, Pages

  Han, Henry ^a  

^a EASTERN MICHIGAN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; BIO-MARKER DISCOVERY; DIMENSION REDUCTION TECHNIQUES; LOCAL FEATURE SELECTIONS; PRINCIPAL COMPONENTS; PROTEIN EXPRESSIONS; SELECTION MECHANISM; SUPPORT VECTOR MACHINE ALGORITHM;

ALGORITHMS; BIOMARKERS; BODY FLUIDS; DISEASES; PATTERN RECOGNITION; BIOINFORMATICS; LEARNING SYSTEMS;

PRINCIPAL COMPONENT ANALYSIS;

BIOLOGICAL MARKER; PROTEOME;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BLOOD; CLASSIFICATION; MASS SPECTROMETRY; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROTEOMICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MARKERS; MASS SPECTROMETRY; PRINCIPAL COMPONENT ANALYSIS; PROTEOME; PROTEOMICS;

EID: 75149118958     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-S1-S1     Document Type: Article

References (16)

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