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Hence as a future advancement of this work, it will be worthy designing benchwork to detect the correlation of these miRNA-mRNA expressions within a SARS-CoV infected cell.
Despite the difference in methodology, our analysis confirms some of previous findings: e.g. we also detect the correlation of E2F and NFY with breast cancer prognosis as revealed by Nidda et al [ 57].
Considering high prevalence of toxoplasmosis, and the importance to characterize the disease in its early stage, the present study was conducted to detect the correlation of IgG, IgM and IgA antibodies with T. gondii in paired samples of serum and colostrum, and to evaluate the ability to diagnose this disease by using colostrum, as an alternative noninvasive way to obtain biological samples.
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Pearson correlations were used to detect the correlations of all the variables in the model.
As the amount of data increases, however, calculating the linear correlation function by the usual multiplicative operations for large amounts of data can be very troublesome, and so some simplified practical methods of detecting the correlation function are desirable.
CA-AF detected the correlation between GRAVY and one of the first three axes in 144 genomes, whereas CA-RF, CA-RSCU, and WCA did not detect it (Table 1C).
The present study was undertaken to evaluate the levels of substance P (SP) and its receptors NK-1 receptor (NK-1R) in both serum and synovial tissues of hip joint from patients with different stages of DDH, and to detect the possible correlation of serum SP levels with pain sensation and dysfunction of the hip joint.
The presence of response dependency inflates reliability, compromises parameter estimation, and can be detected through the correlation of residuals.
The communication between protein fragments is then detected by the correlation of their conformational transitions, measured by normalized MI (I LL n ) between fragment encodings (Eq. 1).
The presence of response dependency inflates reliability, compromises parameter estimation and can be detected through the correlation of residuals [ 44], which in the current analysis is a value of 0.2 above the average residual correlation.
For additional filtering, we trained a classifier using the detected pose and the correlation of the intensity gradient of the image patch with a set of reference faces as features.
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