ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 2002, Pages 3880-3883

  Liao, Xuejun ^a   Dasgupta, Nilanjan ^a   Lin, Simon M ^b   Carin, Lawrence ^a  

^a Duke University   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DNA; DRUG INTERACTIONS; DRUG PRODUCTS; FUNCTIONAL ASSESSMENT; GENES; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; MEDICAL APPLICATIONS;

DNA MICROARRAY ANALYSIS; DRUG SENSITIVITY; PARTIAL LEAST SQUARES;

SIGNAL PROCESSING;

EID: 18144445361     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2002.5745504     Document Type: Article

References (10)

1. Independent component analysis - A new concept
2. A statistical view of some chemometrics regression tools
3. Functional discovery via a compendium of expression profiles
4. Independent component analysis: Algorithms and applications
5. Fast and robust fixed-point algorithms for independent component analysis
6. Imaging brain dynamics using independent component analysis
7. Shortcuts in genome-scale cancer pharmacology research from multivariate analysis of the national cancer institute gene expression database
8. A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and Algorithm
9. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverses