Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemia

Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemia

10.1021/pr070482e

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Bibliographic Details
Main Authors: Forshed, J., Pernemalm, M., Lindberg, M., Kanter, L., Lewensohn, R., Stenke, L., Lehtio, J., Tan, C.S., Pawitan, Y.
Other Authors: CENTRE FOR MOLECULAR EPIDEMIOLOGY
Format: Article
Published: 2011
Subjects:
Acute myeloid leukemia
Bioinformatics
Biomarker selection
Chemometrics
O-PLS
Peak alignment
Peak detection
Proteomics
SELDI
Online Access:http://scholarbank.nus.edu.sg/handle/10635/28042
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Institution: National University of Singapore

Internet

http://scholarbank.nus.edu.sg/handle/10635/28042

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