The law of genetic equilibrium laid the foundation for the study of population genetics

1 Genetic processes of hereditary diseases and diseases, which are couplings that are descriptions of the overall expression of the network. Pen × fun × Pavilion www. ｂｉｑｕｇｅ。 info It can continue to differentiate into smaller granular levels such as genesis mechanism, genetic law, epidemiology, etc., and these layers can also be internally differentiated into other layers, and through the similarity of the levels, the relatively independent layers are coupled to form a network

2. Disease is a normal form of network expression, but its overall intrinsic feature is the accumulation of probability, which exceeds a certain threshold to make the symptoms appear. The incidence of genetic diseases is the overall probability, which can be differentiated into a probability matrix of the network and refined to various levels. Any property can only be derived by comparison, i.e. we need to observe its specific position in the distribution function, and only relativity is meaningful

The quantum level of the autosomes of 3aa and x^ay sex chromosomes is 1:2:1 in accordance with Mendel's laws of inheritance, and the 9:7 of dual genes is on top of it, which is the result of a distribution, we can pile up and ascend the dimension, its essence is probability, and the network it forms can only have certain symptoms, such as diseases, if the probability collapses to form a path, that is, the accumulation of probability exceeds a certain threshold. Disease and normal morphology are quantum network expressions of gene-like genes

4 Epigenetics is based on the probabilistic expression of genes, and the environment as a whole intrinsic nature is diffusion into a certain network in a specific organism. The regulation of probability is a kind of distribution, and genetic factors and environment act like Maxwell's equations

5 Hypothesis: The treatment of diseases is a process of network coupling, and as long as the complementary coupling of the network of the specific drug, i.e., the intrinsic diffusion network, to the network of the original organism reaches a threshold (scoring matrix), it can be cured. This is a complex sequence matching, which requires individualized path finding to make the overall probabilistic network eigen-accurate enough. Probability is relative proportionality

6 The role of genetic factors in the occurrence, development and rehabilitation of genetic diseases, which is a probability network at the molecular level

7. The complex network starts from the quantum level, accumulates data step by step, and finally couples as a whole, and the holographic information makes a sand and a world

8 Multi-level: monogenic diseases, polygenic diseases, chromosomal diseases, somatic genetic diseases, mutated multi-level: abnormal chromosomal structure or number of base pairs (translocations, inversions, deletions, duplications).

9 Genetic diseases generally have the main characteristics of vertical transmission, congenital, familial, etc., and the distribution in the family has a certain proportion; this is the nature of the network, and the family aggregation is the concentrated expression of the network

10 Yin and Yang, that is, 1/0, is the sequence alignment of quantum, the origin decomposition of the real world, and the extremely large number of operations. Tao begets one, life two, and two begets three, which is the emergence of patterns at the level, and the patterns of patterns are like the rules of language. Computational speed is an intrinsic characteristic. Unimpeded operation is a prerequisite for the normal operation of the network. Promoters, enhancers are intrinsic

11 Gene replication, expression and gene repair are the same process, although the tool enzymes may not be the same, but like the ship of Theseus, it is the constant exchange with the outside world to ensure the continuity of the individual. We can think of it as a survivor observation of the multi-universe theory, that is, the anthropic principle, which is a selective expression of the network, and the speed of convergence determines the lifetime. We tend to think that the continuation of a high probability is ontology, which is a change that resists changes in time. It's all quantum-like fragment expressions

12 Life, which is the essence of the expression of all levels of the organism, must be limited to a certain range, otherwise it will diverge and decay, which is extremely accurate. Replication is powered

13 The combination carries information, and the combination itself is information, like a DNA double strand. Static combinations have certain emergences such as genes, repetitive sequences (different times of different lengths, with a certain distribution), palindromic structures are coupled structures, dynamic is the formation of networks, reality is the different expressions of networks, is the probability of collapsing into paths, and at the quantum level, there are changes behind the expression of infinite genes and the expression of combinations. This is graph-theoretic, making use of set relations. Related to the distribution of the network, a specific central node can drive change and can be expressed into certain biological behaviors, such as cell type changes. Changing the sequence of these central nodes may be changing the overall network, which is a kind of software programming

The 14-level coupling gives the network some stability, such as DNA-to-protein degeneracy

15 The susceptibility of a particular genotype to disease is probability. Incompletely dominance and irregular dominance can be seen as expressions of probability, and codominance is the quantum level of multiple gene combinations

16Coupling of DNA and RNA: Expression and regulation

The 17-level game is an inevitability, and the Nash equilibrium is a tendency, but this is an ideal situation and is impossible to achieve because everything is changing. For example, in war, there are local victories and losses, but they have certain intrinsic characteristics, that is, winning or losing. At the same time, war, as a continuation of politics, reveals a complex coupling of the overall level

18 Data visualization is a kind of global eigen, extracting the eigens of large amounts of chaotic data, which is the probability emergences of the network, which can look for high-dimensional structures: trends and internal relationships. The operation of the network can refer to image processing, which is the operation of the overall eigen. Protein structure is the structure of a sequence

19 Symbols are high-dimensional sequence structures, like promoter enhancers of genes, which are the intrinsic structure of language. Symbolic operations are methods that follow a logical path to a more confident result. Like our mathematical proof process, which is essentially a simulation of the universe, the process is the result of the collapse of a combined web

20 The essence of mathematical operations is addition and subtraction, which is 1/0 of the quantum level, but this is the order of large data. We can only understand high-dimensional data, so we have calculus, machine language, assembly language, high-level language, natural language, and thinking. The superposition of levels, traversal is ascending. Syntax and semantics are intrinsic structures, functions are similar to logical combinations, and different variables are different levels, which can continue to be superimposed to form larger complex networks as network structures

21 The smaller the granularity of the target of the network, the better its linear properties, not for colds and fevers, but for the efficacy and safety of anticoagulants versus antiplatelet agents in the treatment of acute ischemic stroke, and the sufficiently qualified conditions can give relatively certain results, which is reductionism. Holism emphasizes the relationship between multiple variables, and the scientific paradigm I want to build is to build a high-dimensional network

22 The combined effect of proto-oncogenes and tumor suppressor genes is cancer, which is the selective expression of the network. Such as yin and yang 1/0

23. The connectivity of graph theory is equivalent to the shortest path finding for matrix scoring

24 In any study, a certain indicator must always be selected, which is the essence of the network. At the same time, changes in indicators can be used to determine whether our impact is valid

25 **** hormones that improve male performance can also be a savior for women with frigidity, that is, the equivalence and complementarity of the network

26 quantum level matching, various hybridization is the operation of sequences

27 The non-factorization of prime numbers is a quantum property, which is a distribution function, and its distribution law is expressed in a range of probabilities, such as "1000"|168|16. 8%。 However, the specific prime number solution is the result of selective expression. So we don't have to construct prime numbers, which can be combined with geometric sets. Most of the conjectures of the prime distribution depend on the zero position of the Riemann zeta function ζ(s). Those non-trivial zeros all fall on a straight line with a real part of 1/2 in the complex plane (as long as the dimensionality is sufficient, there must be a linear relation, which is the linearity of the higher dimension, which can be converted into a linear high dimension, that is, the continuous accumulation of the network).

All even numbers not less than 6 can be expressed as the sum of two odd primes, and each odd number not less than 9 can be expressed as the sum of three odd primes, which is also a quantum property

28 is a chaotic system, the hierarchical coupling of variables can reach a certain stable state, that is, singularity, the different values of abc are the intrinsic properties of the network, there is a symmetrical energy level distribution, the existence of a transition system can be considered, and the decomposition into a more low-dimensional structure is conducive to finding the essential structure, such as the relationship with 0

29. Using the information holographic nature of the data (intrinsic solution of the network = intrinsic network solution), a certain data model is constructed according to a small amount of data, and then new data is continuously introduced, and the probability is modified according to the Bayesian network. The change of the individual is not significant, and the intrinses can be found at the group level (ascending and then decreasing = decreasing and then ascending, effective value = square root of the square of the instantaneous value)

30 The motion of the flowing electrons is a form of potential difference, coupled with a magnetic field, collectively known as the electromagnetic field, which is a continuous combination of reciprocating. The DC circuit formed by the components is a static structure, and the series and parallel connections are certain conservation, so that the equivalent circuit can be constructed (assuming, the equivalence of the network, the different resistances of different parts are the probability distribution of the network, the current is the essence of the network, and different ports and interfaces are different observations, with different results), the complex network can be simplified into a low-dimensional structure as long as an eigen, such as the distribution of voltage, Kirchhoff's law is the coupled structure of a relatively independent network, which is the high-dimensional structure of Ohm's law (quantum); the Wheatstone circuit is the same proportion of different paths determined according to the achievement of steady state; and the superposition principle is a high-dimensional operationis the result of an idealized synthesis of individual actions; imaginary numbers, which introduce a new dimension, are related to trigonometric functions, and are two-dimensional self-coupling operations; Euler's formula converts multiplication operations into addition and subtraction operations; resonance is the result of the shortest resistance, and resonance is capacitance and inductance (1/ 0), the middle intersection of the opposite trend is the sensitive point; alternating current can regulate the voltage by changing the attenuation rate of the current; enough loop coupling observation is a combination of different combinations and combinations; three-phase alternating current improves the supply efficiency; the greatest energy saving is to use energy as a way to use a wider range of environmental energy

31 Matrices are the mathematical form of the network, the proportions between the matrices of different variables are eigens, useful work is essentially a proportion, the relative position of the distribution function, and the transformation of calculus and exponential functions

32 Mitochondrial diseases are relatively independent organelle mutations, and mitochondrial DNA mutations can cause human diseases due to the inclusion of layers. The segmental distribution of genes, the interval between enzymes and tRNA is the characteristic of expression, which requires specific site binding, the heavy chain carries more information and is rich in G, which is related to the amino acids corresponding to the codon table, the continuous and discrete coupling of replication and expression, and the molecule has no nucleotide-binding proteins and lacks histone protection. There is no DNA damage repair system within the mitochondria, and mtDNA is susceptible to mutation and easy preservation. This may be the source of cellular mutations if the mtDNA is able to integrate into the nuclear DNA (each mitochondria contains 2~10 copies of the mtDNA molecule. Each cell can have thousands of mtDNA molecules. This is the basis of probabilistic networks);

Disease is the result of the relative proportion of mutant genes exceeding a certain threshold

33 The cumulative effect of codominant genes, the network that genes can form, the traits are reflected in the distribution function, the accumulation of micro-effect genes, the incidence has a familial tendency, which is the clustering of the network, and the priority connection of the central nodes, the risk of disease decreases rapidly with the decrease of the level of kinship, and the convergence function, the incidence rate has racial (or ethnic) differences, and the overall nature, that is, the intrinsic nature, and the Carter effect, which can only be observed when a certain threshold is exceeded

34 chromosome diseases are related to chromosome number or structural aberrations, mutation is a biological necessity, but the intrinsic characteristics of different networks are different; chromosomes/cells do not separate, forming chimeras; genomic diseases are the characteristics of networks: homologous recombination, low-copy duplication, copy number variation, fork delay and template switching, non-homologous end joining, reverse transcription transposition, palindromic structure of multiple ATs, B-DNA conformation, is a gene dose effect, mainly including gene copy number changes, regulatory element changes or gene interruptions.

35 Genetic testing at the population level can lay the foundation for a priori so that the probability of mutations at the individual level can be derived from the Bayesian formula; Random mating is large-scale, and it takes time to reach equilibrium, showing a certain proportion, but this is an ideal state and cannot be reached, but it is certain that different stages of the distribution function can be reached at different times, the rapid convergence of equilibrium, but the premise of randomness cannot be reached, the effect of selection on fitness, the effect of mutation pressure on the frequency of other genes, and the coefficient equal to the number of paths * probability

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