A clinical metabolomics strategy to discover new biomarkers in complex disease: An overview

Biomedizinische Technik

Volumn 58, Issue , 2013, Pages

  Baumgartner, C ^a  

^a UNIVERSITY FOR HEALTH SCIENCES   (Austria)

Author keywords

Bioinformatics; Biomarker discovery; Complex disease; Metabolomics

Indexed keywords

BIOINFORMATICS; DATA MINING;

BIO-MARKER DISCOVERY; BIOINFORMATICS METHODS; BIOLOGICAL INTERPRETATION; COMPLEX DISEASE; DATA PREPROCESSING; METABOLIC BIOMARKERS; METABOLOMICS; MOLECULAR PROFILING;

BIOMARKERS;

EID: 84920517392     PISSN: 00135585     EISSN: None     Source Type: Journal    
DOI: 10.1515/bmt-2013-4305     Document Type: Article

References (4)

1. Monteiro, M.S., Carvalho, M., Bastos, M.L., de Pinho, P.G. Metabolomics analysis for biomarker discovery: advances and challenges. Curr. Med. Chem., vol. 20, pp. 257-271, 2013.
2. Baumgartner, C., Osl, M., Netzer, M., Baumgartner, D. Bioinformatic-driven search for metabolic bi-omarkers in disease, J. Clin. Bioinforma., vol 1, 2, 2011.
3. Netzer, M., Weinberger, K., Handler, M., Seger, M., Kugler, K., Graber, A., Baumgartner, C. Profiling the human response to physical exercise: A computational strategy for the identification and kinetic analysis of metabolic biomarkers. J. Clin. Bioinforma., vol 1, 34, 2011.
4. Baumgartner, C., Lewis, G.D., Netzer, M., Pfeifer, B., Gerszten, R.E. A new data mining approach for profiling and categorizing kinetic patterns of metabolic biomarkers after myocardial injury. Bioinform atics, vol. 26, pp. 1745-1751, 2010.