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Entropy, Volume 18, Issue 12 (December 2016) – 38 articles
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We present multivariate surprisal analysis with special reference to personalized medical diagnostics. Our data is the expression of genes in different cell types of different patients. Surprisal analysis is a thermodynamic-like maximal entropy procedure. Surprisal analysis determined a baseline expression level common for all cells and patients. The baseline and two surprisal patterns (constraints) satisfactorily recover (99.8%) the multivariate data. View this paper
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