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. 2006 Oct 24;95(10):1379–1383. doi: 10.1038/sj.bjc.6603429

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Copyright © 2006 Cancer Research UK

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Partial least squares discriminate analysis (PLSDA) of serum proteomic features before/during HCC. (A) Plots the data using two latent variables (LV1 and LV2). Filled circles represent pre-HCC samples and hollow triangles during-HCC samples. (B) Shows the change in LV1 associated with the development of HCC in each patient. PLSDA was performed using PLS_Toolbox (Version 3.5, Eigenvector Research, Manson, WA, USA) running in Matlab (Version 7.1, The MathWorks, Natick, MA, USA).