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Statistical Embedding in Complex Biosystems

Capobianco, Enrico

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)



Abstract:
Complex high-dimensional systems represent an important area of interdisciplinary research in systems biology. Gene expression values obtained by microarray data represent a good example, owing to their various features that depend on biological network dynamics. This work emphasizes the role of blind source separation for dealing with dimensionality reduction and feature selection, and their useful combination with fuzzy rules, embedding principles and entropic measures. In particular, entropy and embedding are useful tools for controlling the robustness and stability of the decomposition of a system with larger than intrinsic dimensionality. As a result, the convergence to a small intrinsic dimensionality occurs by the means of least dependent components, seen as a minimal number of salient features.


Beteiligte Einrichtung: Technische Fakultät, Arbeitsgruppen der Informatik
DDC-Sachgruppe: Datenverarbeitung, Informatik

Zitat-Vorschlag:
Capobianco, Enrico  (2006)  Statistical Embedding in Complex Biosystems. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 3(2), 2006. Special Issue: 3rd Integrative Bioinformatics Workshop, Harpenden, United Kingdom, 2

Online-Journal: http://journal.imbio.de/index.php?paper_id=30
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/211

Also published by Shaker:
Ralf Hofestädt, Thoralf Töpel (eds.). Integrative Bioinformatics -
Yearbook 2006. Shaker, 2007.


 Fragen und Anregungen an: publikationsdienste.ub@uni-bielefeld.de
 Letzte Änderung: 15.2.2011
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