The comprehensiveness of data is an ideal, and it is more important for us to grasp the key nodes, the intrinsic level

Matrix change dependence, comparison of expression levels of wild-type and mutant-type

The coupling of different levels can express intermediate levels, similar to the median value theorem

Evidence-based medicine is cybermedicine. Pen Fun Pavilion wWw. ｂiquge。 Info is a huge network through the accumulated information in the past, and its different levels of projection have different physiological meanings, which are similar to Bayesian statistics in the first order statistics, and depend on the memory of the network

Meta, the synthetic network structure, finds the current optimal, which is an imaginary level, not necessarily a physiological process

Look for the coupling of microscopic electrophysiological and macroscopic behavioral mechanisms, such as neural pathway formation and topological circuits

The hierarchical coupling of yin and yang, the symmetrical form, the representation of which is singular, but which is selectively expressed

The comprehensive evaluation of multiple indicators is a network-like relationship, and the relationship between elements is universal

Orthogonal experiments, large-scale multivariate influence cancellation, so that the influence of some single factors can be revealed, and the primary and secondary (eight-gang dialectic, there is interaction at the factor level)

Local (step optimal, step-by-step superposition) - overall superposition, establish the network

The analysis of orthogonal experimental design results can be divided into range analysis (ranking of importance) and analysis of variance (reduction of errors)

base, the level of understanding;

The Pythagorean theorem, the relationship between levels, coupled rings

Resistance changes are associated with the cycloid

The reassembling of the chunks of the graph illustrates a coupling: the sheared pieces of any polygon can be combined into polygons of equal area, a property that should also exist in the network

Periodicity of the track

The high dimension enables the coupling to be established, and the untenable relative relations to be integrated

The overall model, the open network structure, the selective expression, the study of all the relationships like the wave function, we can only provide a basic framework, that is, the distribution of probabilities, such as the exponential relationship between intensity and frequency of occurrence, which is the overall statistics, to determine a certain probability, it is difficult to predict the individual accurately, consider the screening of natural selection to continuously optimize

π is related to probability, and the relationship to the network structure is the relationship between nodes and loops and networks

Omics, the first-order reaction of the role of high throughput, is a description of the hierarchy

The elliptical focus of communication is more convenient, which is

The sequence effect of network differentiation of key nodes, and the combination of certain probabilities is the final role of the node

The Fibonacci sequence, idealized growth, while having the sum of the first 10 numbers is 11 times the 7th number, i.e., the eigen, the spiral

The coupling of cycles creates resistance in a certain dimension, that is, the probability change in a high dimension

The removal of the ring will change overall, i.e. the determination of the multiple will be reduced

Calculate unmeasurable objects by similarity

The three nodes formed by the hexagon of the inscribed conic curve and its three groups of opposite sides are in the same straight line: the correspondence of multiplicity, which is the property of the eigenlevel

Similarity of high-dimensional structures, such as uniform loss of Möbius rings

For the integration of networks, the wave function is the rule, and the direction can change randomly

Visualization is the extraction of intrinsic information

The relationship between the perimeter of one dimension and the area of two dimensions

Causes, mechanisms, development processes, changes

Prime numbers may be a special response

Diffusion, free walking, simulated power system. Eigenvalue, the mean of the probability distribution

In the process of one-dimensional random walk, as long as the time is long enough, it can always return to the starting point in the end, which can be regarded as a logical operation, which is first-order (2^1), and the two-dimensional (2^2) situation is also applicable, but the high-dimensional one is probability: 34% in 3D and 19% in 4D. 3% 8D 7. 3%。 This is actually a Markov process of probabilistic networks, and the assumption that the time is long enough is that there are infinite opportunities for trial and error, and we can't possibly do it

RandomWalk's average first arrival time, average round-trip time, average coverage time, and mixed time and eigenvalues on the graph (eigen-level observations)

Frequency — the rank of the matrix, the eigenvalue, the stable state

The process of connecting probabilities is a genetic simulation, with decomposition and reorganization at the quantum level and a bias for screening

Complex Numbers and Probabilities: Revealing the Existence of Implicit Networks

Matrix computation and logical operations may be equivalent, a mathematical form of multi-level coupling of living things

Probabilistic operations for Bayesian networks

Systems Engineering: Statistics, Normal Distribution, Matrix Operations, Eigenvalues

Relationships are determined by comparison, and to be precise, the correlation between variables. At the end of the orthogonal experiment, the coupling of various levels of fluctuations makes the influence of specific factors prominent

Probabilistic networks, coupling of distribution functions

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