The increased range and reduced bias of method 3 may hence be useful to detect T-F interdependences in electrophysiological data, such as EEG, in which correlations are sparse.
Thus, while the de novo transcriptome does include some non-coding sequences, and our method may, in principle, apply (hence it is not essentially biased towards CDS), we chose to focus only at CDS in order to improve our signal-to-noise ratio.
Hence this method may be used commercially for extraction of tylophorine.
Thus, it enhances object details by degrading background details, and hence this method may not suffice if we want to see the background detail [35].
Hence, the method may be applicable to cases where minute amounts of DNA are available (e.g. forensics, cancer biopsies with limited number of cells etc).
Hence, the method may not be adequate to reveal scientific dishonesty, or the presupposition that we only discover the top of the iceberg [ 27] may be wrong.
It is of note that several predicted PP proteins in this work e.g. FlaB1 periplasmic flagellin (LA2017/LIC11890) have previously been identified as possible PP contaminants in experimental studies of OMV proteins [ 13, 20]; hence our prediction method may help in correct interpretation of future experimental verification studies, thus leading to better predictions in uncharacterized genomes.
Hence, the Shazam method may be suitable for very large databases whereas the ORB method may be better suited for smaller databases.
Hence, the proposed method may be used to determine if the transmitted symbols should be scaled or not without computing the instantaneous power, thus reducing the complexity.
Hence, applying this method may enhance correlation and under estimate the standard error of the regression coefficients by under estimating the variance of the imputed variables [8].
