It takes the average reader 9 hours and 25 minutes to read Computational Systems Biology by Seiya Imoto
Assuming a reading speed of 250 words per minute. Learn more
This chapter describes the computational methods for estimating, modeling, and simulating biological systems. It also presents two approaches to understand biological systems and describes a method and a software tool developed by our research group. Bayesian network is a mathematical model for representing causal relationships among random variables by using conditional probabilities. The conditional probabilities describe the parent-child relationships and can be viewed as an extension of the deterministic models like Boolean networks. This model is suited for modeling qualitative relations between genes and allows mathematical and algorithmic analyses. We also devised a method to infer a gene network in terms of a linear system of differential equations from time-course gene expression data. A software tool is developed based on Petri net to modeling and simulation of gene networks. With this software tool, various models have been constructed and its utility has been demonstrated in practice.
Computational Systems Biology by Seiya Imoto is 548 pages long, and a total of 141,384 words.
This makes it 185% the length of the average book. It also has 173% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 12 hours and 52 minutes to read Computational Systems Biology aloud.
Computational Systems Biology is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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