Please use this identifier to cite or link to this item: https://doi.org/10.1021/pr070482e
Title: Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemia
Authors: Forshed, J.
Pernemalm, M.
Lindberg, M.
Kanter, L.
Lewensohn, R.
Stenke, L.
Lehtio, J.
Tan, C.S. 
Pawitan, Y.
Keywords: Acute myeloid leukemia
Bioinformatics
Biomarker selection
Chemometrics
O-PLS
Peak alignment
Peak detection
Proteomics
SELDI
Issue Date: 2008
Citation: Forshed, J., Pernemalm, M., Lindberg, M., Kanter, L., Lewensohn, R., Stenke, L., Lehtio, J., Tan, C.S., Pawitan, Y. (2008). Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemia. Journal of Proteome Research 7 (6) : 2332-2341. ScholarBank@NUS Repository. https://doi.org/10.1021/pr070482e
Source Title: Journal of Proteome Research
URI: http://scholarbank.nus.edu.sg/handle/10635/28042
ISSN: 15353893
DOI: 10.1021/pr070482e
Appears in Collections:Staff Publications

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