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We then consider the statistics (3) R (G | D n ) = 1 n ∑ i = 1 N ∑ j ∈ P a i ∑ k ∈ X i n i, k j log (P ^ i, k j / P ^ i, k j 0 ) and introduce the scoring function (4) S (G | D n ) = R (G | D n ) d f (G ), the intuition behind which is given below.
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Therefore, we introduce the score indicators s1, s2,..., s6 to denote whether TargetScan, miRanda, PicTar mirTarget, PITA and Diana-microT report scores, or s i = 1(i ∈ {1, 2,..., 6}) if the algorithm i reports a score, and s i = 0 otherwise.
24 25 We used, alternatively, the high protein score, the low carbohydrate score, and the additive low carbohydrate-high protein score as the primary exposure variable, introducing the scores, alternatively, as ordered or categorical variables.
To better analyze the impact on mortality of each organ or system dysfunction assessed by LODS, we introduced the score for each organ into the model independently; we observed that increased scores for the haematological, neurological, pulmonary, and renal components were significantly associated with mortality.
To explain the intuition behind exSPA nder, we first introduce the naive scoring function.
To this end, we introduce the best score and the worst score of a matrix slice.
To quantify the performance of a PPP over all protocols with a single metric we introduce the PPP score, which is the harmonic mean of the auPRC of the four protocols.
Considering the probable universal character of the immune control of tumors, it is essential to stop ignoring it as a prognostic factor [ 8] and to introduce the immune score as a marker to classify cancers [ 11, 50].
We introduce the compactness score [ 29] to identify the cell-type-specific interactomes within which sets of disease-associated genes are significantly more clustered than expected by chance (Fig. 2 A) and thereby identify disease-manifesting cell types.
In this work, we introduce the multiclass performance score (MPS), a generic performance measure for multiclass problems.
Next, in column [2], we introduce the conservative ideology score and the 3-point party id variable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com