Gene selection using independent variable group analysis for tumor classification

Author:

Zheng Chun-Hou,Chong Yan-Wen,Wang Hong-Qiang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference35 articles.

1. Alhoniemi E, Honkela A, Lagus K, Seppä J, Wagner P, Valpola H (2006) Compact modeling of data using independent variable group analysis. Technical Report E3, Helsinki University of Technology, Publications in Computer and Information Science, Espoo, Finland

2. Alon U, Barkai N, Notterman DA, Gish K, Ybarra S, Mack D, Levine AJ (1999) Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci USA 96:6745–6750

3. Ambroise C, McLachlan GJ (2002) Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci USA 99:6562–6566

4. Bae K, Mallick BK (2004) Gene selection using a two-level hierarchical Bayesian model. Bioinformatics 20:3423–3430

5. Caló DG, Galibemberti G, Pillati M, Viroli C (2005) Variable selection in cell classification problems: a strategy based on independent component analysis. In: Vichi M, Monari P, Mignani S, Montanari A (eds) New development in classification and data analysis. Studies in classification, data analysis, and knowledge organization. Springer, Berlin, pp 21–30

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