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For the English dataset, values between PESQ and P.563 are also shown to be significantly different.
In this case, CHS is considered essential to describe the property, as the dataset values for elongation at break were measured at different crosshead speeds.
Comparative performances of LRM, SVR and ANN have been evaluated with the help of correlation coefficient and Root Mean Square Error (RMSE) between the actual and fitted (for training dataset) or predicted (for test dataset) values of GWL.
The statistical parameters including correlation coefficient (R) of 0.999543 and mean relative absolute error (MRAE), 0.022198, of the results form dataset values exhibit the high precision of the applied method.
All analyses were carried out on normalized and log2 transformed dataset values.
The CMap dataset values were processed as previously described [ 29].
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For this analysis, the dependent variable is whether the data is from a derivation dataset (value = yes) or is from the validation dataset (value = no).
The lda function (having CV = True) was executed 50 times on each dataset (value imputations were applied each time to the unified datasets), in order to assess the variability of the attained accuracy performance for the melanoma class.
With all other datasets values k=5 and Nrec=5 are used.
*All data are based on analysis of 50 imputed datasets; values are numbers (percentages).
To map the relatively smaller non-Pol II transcripts more accurately in the α-amanitin GRO-seq datasets, values of 5 and 10, respectively, were used.
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CEO of Professional Science Editing for Scientists @ prosciediting.com