Tumor classification by partial least squares using microarray gene expression data

Bioinformatics

Volumn 18, Issue 1, 2002, Pages 39-50

  Nguyen, Danh V ^a   Rocke, David M ^b  

^a Center for Image Processing and Integrated Computing   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ARTICLE; B CELL LEUKEMIA; CHRONIC LYMPHATIC LEUKEMIA; COLON TUMOR; CONTROLLED STUDY; DATA ANALYSIS; DNA MICROARRAY; GENE EXPRESSION; HUMAN; LUNG NON SMALL CELL CANCER; METHODOLOGY; OVARY TUMOR; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RANDOMIZATION; SAMPLE; STATISTICAL ANALYSIS; TUMOR CLASSIFICATION;

EID: 0036166439     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.1.39     Document Type: Article

References (31)

1. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
2. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
3. Molecular classification of cutaneous malignant melanoma by gene expression profiling
4. Regression models and life-tables (with discussion)
5. SIMPLS: An alternative approach to partial least squares regression
6. Support vector machine classification and validation of cancer tissue samples using microarray expression data
7. A statistical view of some chemometrics regression tools (with discussion)
8. An interpretation of partial least squares
9. Partial least squares regression: A tutorial
10. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
11. On the structure of partial least squares
12. Comparison of prediction methods when only a few components are relevant
13. PLS regression methods
14. Nonparametric estimation from incomplete observations
15. A theoretical foundation for the PLS algorithm
16. Principal components regression in exploratory statistical research
17. Distinctive gene expression patterns in human mammary epithelial cells and breast cancer
18. Molecular portrait of human breast tumors
19. The geometry of 2-block block partial least squares
20. Systematic variation in gene expression patterns in human cancer cell lines
21. A gene expression database for the molecular pharmacology of cancer
22. Continuum regression: Cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares, and principal components regression (with discussion)