An empirical comparison of dimensionality reduction methods for classifying gene and protein expression datasets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4463 LNBI, Issue , 2007, Pages 170-181

  Lee, George ^a   Rodriguez, Carlos ^b   Madabhushi, Anant ^a  

^a RUTGERS UNIVERSITY   (United States)

^b UNIVERSITY OF PUERTO RICO   (Puerto Rico)

Author keywords

Bioinformatics; Classification; Dimensionality reduction; Gene expression; Graph embedding; Isomap; Linear discriminant analysis; Lung cancer; Multidimensional scaling; Ovarian cancer; Principal component analysis; Prostate cancer; Proteomics

Indexed keywords

BIOINFORMATICS; CLASSIFICATION (OF INFORMATION); GENE EXPRESSION; ONCOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROTEINS;

DIMENSIONALITY REDUCTION; GRAPH EMBEDDING; ISOMAP; LINEAR DISCRIMINANT ANALYSIS; LUNG CANCER; MULTIDIMENSIONAL SCALING; OVARIAN CANCER; PROSTATE CANCER; PROTEOMICS;

DATA REDUCTION;

EID: 34547463049     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72031-7_16     Document Type: Conference Paper

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