The principle of exhaustiveness versus the principle of parsimony: A new approach for the identification of biomarkers from proteomic spot volume datasets based on principal component analysis

Analytical and Bioanalytical Chemistry

Volumn 397, Issue 1, 2010, Pages 25-41

  Marengo, Emilio ^a   Robotti, Elisa ^a   Bobba, Marco ^a   Gosetti, Fabio ^a  

^a UNIVERSITY OF EASTERN PIEDMONT   (Italy)

Author keywords

2D gel electrophoresis; Biomarker discovery; Classification methods; Exhaustiveness; Ranking PCA; Variable selection

Indexed keywords

2D GEL ELECTROPHORESIS; BIO-MARKER DISCOVERY; CLASSIFICATION METHODS; CLASSIFICATION PERFORMANCE; DATA SETS; LEADING RESEARCH AREAS; MULTIVARIATE METHODS; NEW APPROACHES; PROTEOMICS; VARIABLE SELECTION; VOLUME DATA SETS;

BIOMARKERS; ELECTROPHORESIS; GELS; MOLECULAR BIOLOGY; PROTEINS;

PRINCIPAL COMPONENT ANALYSIS;

BIOLOGICAL MARKER; HISTONE DEACETYLASE; HISTONE DEACETYLASE INHIBITOR;

ADRENAL GLAND; ALGORITHM; ANIMAL; CHEMISTRY; COLON TUMOR; CONFERENCE PAPER; HUMAN; METABOLISM; MOUSE; NEUROBLASTOMA; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROTEOMICS; THEORETICAL MODEL; TUMOR CELL CULTURE; TWO DIMENSIONAL GEL ELECTROPHORESIS;

ADRENAL GLANDS; ALGORITHMS; ANIMALS; BIOLOGICAL MARKERS; COLONIC NEOPLASMS; ELECTROPHORESIS, GEL, TWO-DIMENSIONAL; HISTONE DEACETYLASE INHIBITORS; HISTONE DEACETYLASES; HUMANS; MICE; MODELS, THEORETICAL; NEUROBLASTOMA; PRINCIPAL COMPONENT ANALYSIS; PROTEOMICS; TUMOR CELLS, CULTURED;

EID: 77951255410     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-009-3390-8     Document Type: Conference Paper

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