Integrative analysis of metabolic disorders by means of medical bioinformatics

Chen M, Hofestädt R (2006)
Conf Proc IEEE Eng Med Biol Soc 1.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Abstract / Bemerkung
We present a strategy of bioinformatics analysis to exploit the current data available both on genomic and metabolic levels and integrate these at novel levels of understanding of metabolic disorders. PathAligner is applied to predict biomedical data based on a given disorder. A case study on urea cycle disorders is demonstrated. Both genetic data and metabolic information are retrieved. We integratively analyze the transcription factors, signaling pathways and associated disorders to interpret the occurrence and regulation of the urea cycle.
Erscheinungsjahr
Zeitschriftentitel
Conf Proc IEEE Eng Med Biol Soc
Band
1
ISSN
PUB-ID

Zitieren

Chen M, Hofestädt R. Integrative analysis of metabolic disorders by means of medical bioinformatics. Conf Proc IEEE Eng Med Biol Soc. 2006;1.
Chen, M., & Hofestädt, R. (2006). Integrative analysis of metabolic disorders by means of medical bioinformatics. Conf Proc IEEE Eng Med Biol Soc, 1. doi:10.1109/IEMBS.2005.1616385
Chen, M., and Hofestädt, R. (2006). Integrative analysis of metabolic disorders by means of medical bioinformatics. Conf Proc IEEE Eng Med Biol Soc 1.
Chen, M., & Hofestädt, R., 2006. Integrative analysis of metabolic disorders by means of medical bioinformatics. Conf Proc IEEE Eng Med Biol Soc, 1.
M. Chen and R. Hofestädt, “Integrative analysis of metabolic disorders by means of medical bioinformatics”, Conf Proc IEEE Eng Med Biol Soc, vol. 1, 2006.
Chen, M., Hofestädt, R.: Integrative analysis of metabolic disorders by means of medical bioinformatics. Conf Proc IEEE Eng Med Biol Soc. 1, (2006).
Chen, Ming, and Hofestädt, Ralf. “Integrative analysis of metabolic disorders by means of medical bioinformatics”. Conf Proc IEEE Eng Med Biol Soc 1 (2006).

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Quellen

PMID: 17282154
PubMed | Europe PMC

Suchen in

Google Scholar