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Figure 1a showed one such correlation map for 201 AnCg chips produced by using logged intensities of all 12,734 Refseq gene-based probe sets on the U133A chip.
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One of such correlation is the BNN relation developed by Barton, Nakajima and Namikawa[7].
Although the protein statuses of HER2 and HER3 (p = 0.013, CC = 0.197) and HER2 and HER4 (p < 0.001, CC = 0.446) were significantly correlated with one another, no such correlation was found between HER2 and HER1 IHC (p = 0.654, CC = 0.035), an observation supported by the results of Hudelist and colleagues [ 41].
Figure 3 shows one example of such correlation in three different antibody families that were built from three different parental monoclonal antibodies by incorporating single and double mutations.
One such study (14) observed a correlation of about 0.5 in transcript levels among all genome-wide transcripts expressed both in brain and whole blood, including substantial correlations in transcripts representing putative candidate genes for schizophrenia.
One possibility is that there is such correlation.
One of the many factors of such correlation between the occurrences of HPV infection in the two analysed environments might be local defensive mechanisms.
Figure 5A demonstrates that while retained paralogs with low sequence evolution asymmetry (log Z < 0) retain a high (~0.6) coefficient of correlation across 26 tissues sampled from two developmental stages [ 39], those that diverged asymmetrically quickly lost such correlation, indicating that one of the members of the asymmetric pairs was also volatile in terms of gene expression specificity.
One such option includes real time continuous sampling C molecular correlation spectroscopy (MCS™) technology.
One such measure of rank order comparison is the tau rank correlation (Kendall, 1938).
The top panel of Figure 3 shows a correlation diagram for all 4000 time points in one such simulation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com