Disease Markers
Volume 22, Issue 4, Pages 245-255
http://dx.doi.org/10.1155/2006/728296
Biomarkers that Discriminate Multiple Myeloma Patients with or without Skeletal Involvement Detected Using SELDI-TOF Mass Spectrometry and Statistical and Machine Learning Tools
1Department of Orthopaedic Surgery, Center for Orthopaedic Research, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
2Myeloma Institute for Research and Treatment, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
Received 10 November 2006; Accepted 10 November 2006
Copyright © 2006 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite this Article
Sudeepa Bhattacharyya, Joshua Epstein, and Larry J. Suva, “Biomarkers that Discriminate Multiple Myeloma Patients with or without Skeletal Involvement Detected Using SELDI-TOF Mass Spectrometry and Statistical and Machine Learning Tools,” Disease Markers, vol. 22, no. 4, pp. 245-255, 2006. https://doi.org/10.1155/2006/728296.