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Data subset-validation, based on microbial-immunological data.

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posted on 2015-04-14, 03:11 authored by Gabriel Leitner, Shlomo E. Blum, Ariel L. Rivas

Data subsets identified on the bases of dimensionless indicators (hypothetical indices of unknown biological validity) were evaluated with biologically explicit data. When prior information was considered, the culture-negative subsets showed the highest L %, while the culture-positive subset exhibited the lowest L%, and the highest N% (A). A similar pattern was observed when relationships involving monocytes and lymphocytes were analyzed; for instance, (i) the monocyte/lymphocyte (M/L) ratio distinguished the culture-negative, high L% subset from all other subsets; (ii) a composite index that included a product and a ratio (the [M*N]/ L) differentiated both culture-negative from both culture-positive subsets, and (iii) a double interaction (the [M/N] / [N]L] ratio) separated the low L%/high N%/culture-positive from all other subsets (lines, B).

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