Cell Language Theory, The: Connecting Mind And Matter

Applications of the Cell Language Theory to Biomedical Sciences 323

“6x9” b2861 The Cell Language Theory: Connecting Mind and Matter

values, A, B, and C. From these, the A vs. C plots were obtained as shown.

The correlation coefficient values for the linear regression lines for the A

vs. C ranged from 0.28 to 0.98. Similar analyses were carried out with the

mRNA data measured from five intermediate and five long survivors.

From the A vs. C plots of the three groups, the SM vs. the changes in the

slope (∆ slope) graphs were constructed as shown in Figure 7.20. Except

Mechanism 4, all the plots gave excellent correlation coefficients, i.e.,

greater than 0.92. It is interesting to note that Mechanisms 2 and 8 show

positive slopes, while Mechanism 6 gives a negative one, suggesting that

Mechanisms 2 and 8 are beneficial, while Mechanism 6 is harmful to

patients.

When the number, n, of the ORFs analyzed in terms of a histogram is

smaller than about 50, the shapes of the histogram is quite noisy (see

Figures 7.16 and 7.17). However, instead of plotting n mRNA levels, if the

differences between all possible pairs between the n values are utilized,

much smoother histograms are obtained that fit to PDE with greater preci-

sion as shown in Figure 7.21. The number of all possible pairs of n num-

bers is n(n - 1)/2, which is almost one-half of n^2. When the number of

elements of a histogram is increased from n to n(n - 1)/2, the correlation

coefficient of the A vs. C plots of the PDE fitting the histogram improved

from an average of 0.424 to 0.972 in Figure 7.21. The PDE-based analysis

Figure 7.20 The SM vs. ∆slope plots of the three groups of breast cancer patients who

survived — short (10.7 months), intermediate (31 months), and long (75 months) periods

after doxorubicin treatment for 16 weeks. SM = the average survival month.

y = 81538x R² = 0.9892+ 43.369

Ϭ

ϮϬ

κϬ

ςϬ

ΘϬ

-0.0006-0.0004 -0.000 20 0.0002 0.000 40 .000 6

AVG S.

M

∆ SLOPE

Mechanism 2

y = -14475R² = 0.3255x + 32.14 3

Ϭ

ϮϬ

κϬ

ςϬ

ΘϬ

ͲϬ͘ϬϬϮ ͲϬ͘ϬϬϭρͲϬ͘ϬϬϭͲϬ͘ϬϬϬρ ϬϬ͘ϬϬϬρϬ͘ϬϬϭ Ϭ͘ϬϬϭρ

AVG

S.M

∆ SLOPE

Mechanism 4

y = -25071x R² = 0.9873+ 93.0 9

Ϭ

ϮϬ

κϬ

ςϬ

ΘϬ

00 .000 50 .0010.00150.00 20 .00250.0030.003 50 .004

AVG

S.M

∆ SLOPE

Mechanism 6

y = 39033x R² = 0.9198+ 9.30 9

Ϭ

ϮϬ

κϬ

ςϬ

ΘϬ

00 .000 50 .001 0.0015 0.00 2

AVG

S.M

∆ SLOPE

Mechanism 8

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