Opportunities and limitations of a principal component analysis optimized machine learning approach for the identification and classification of cancer involved proteins

Borschbach, M.; Hauke, S.; Pyka, M.; Heider, Dominik

Borschbach, M.; Hauke, S.; Pyka, M.; Heider, Dominik:

In: Communications of SIWN (2009), No. 6, pp. 85 - 89

2009article/chapter in journal

BiologyFaculty of Biology » Bioinformatics and Computational Biophysics

Title in English:

Opportunities and limitations of a principal component analysis optimized machine learning approach for the identification and classification of cancer involved proteins

Author:

Borschbach, M.;Hauke, S.;Pyka, M.;Heider, Dominik^UDE

Year of publication:

2009

Language of text:

English

Appears in

Communications of SIWN

in:

No. 6, pp. 85 - 89

ISSN

1757-4439

University bibliography

Publication directory of the University of Duisburg-Essen

Borschbach, M.: Opportunities and limitations of a principal component analysis optimized machine learning approach for the identification and classification of cancer involved proteins