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Figure 1.
Matrix A is decomposed using singular value decomposition as A = USVT, where U and
V are orthogonal matrices containing the left and right singular vectors, respectively
and S is a diagonal matrix with the singular values on the diagonal.
Yener et al. BMC Systems Biology 2008 2:63 doi:10.1186/1752-0509-2-63
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