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In order to quantitatively measure how close a population distribution produced by a method was to the true one, we used a divergence measure based on Shannon entropy, called L-divergence (Lin, 1991).
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Such a method was adopted by Takeuchi and Hirashita (2000).
The application in our context is very similar: the datasets are the judges and the Macro-F1 achieved by a method is the rating from the judges.
In general, the number of genes predicted by a method are always a balance between false positives and false negatives.
Under this testing framework, the prediction made by a method is measured at the nucleotide, binding site and motif levels.
The top 10% candidates in a QTL candidate set prioritized by a method were termed as winners for that method, e.g., RWR winners were top-ranked genes by the RWR method.
The latter useful statistic, quantifying the proportion of SNPs missed by a method, is not always reported; confirmation rates of up to 97% in soybean and rice were reported by [ 29], but without mention of the accompanying false-negative rate.
Drug-induced changes in cardiac output measured by the impedance-A method were statistically identical to thermodilution.
A manually identified position that was overlooked by a computational method was called a false negative.
Our results indicated that P-PRP obtained by a manual method was affected by intrinsic factors such as the breed, gender and age.
Remark 1 A Markov-type inequality, which is obtained by a similar method, was announced in the conference [11].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com