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Comparative and Functional Genomics
Volume 2011, Article ID 780973, 16 pages
Research Article

Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris

1Division of Biometrics II, Office of Biometrics/OTS/CDER/FDA, Silver Spring, MD 20993-0002, USA
2Division of Biometrics IV, Office of Biometrics/OTS/CDER/FDA, Silver Spring, MD 20993-0002, USA
3Department of Biological Sciences, University of Maryland at Baltimore County, Baltimore, MD 21250, USA
4School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China

Received 25 October 2010; Revised 17 December 2010; Accepted 1 March 2011

Academic Editor: E. Hovig

Copyright © 2011 Feng Li et al. 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.

Supplementary Material

Supplementary Table 1: Relative variable importance measures for the ten top ranked variables (after removing genes with high mRNA values) (From Torres-GarcΓ­a et al., Bioinformatics, 2009, 25:1905–1914).

Supplementary Table 2: Predicted values for all genes in different conditions.

  1. Supplementary Material