An Information Approach to Mitochondrial Dysfunction
Extending Swerdlow's Hypothesis
Nonfiction, Science & Nature, Mathematics, Applied, Science, Biological Sciences, Biology
| Author: | Rodrick Wallace | ISBN: | 9789814663526 |
| Publisher: | World Scientific Publishing Company | Publication: | February 13, 2015 |
| Imprint: | WSPC | Language: | English |
| Author: | Rodrick Wallace |
| ISBN: | 9789814663526 |
| Publisher: | World Scientific Publishing Company |
| Publication: | February 13, 2015 |
| Imprint: | WSPC |
| Language: | English |
The monograph applies sophisticated topological symmetry tools to biological applications of information theory, along with a Black–Scholes model invocation of the Data Rate Theorem which links information and control theories. The focus is on statistical mechanics and other models that explore pathological phase transitions — driven by changes in available rates of mitochondrial free energy — in physiological functions, a cutting-edge topic in the study of chronic disease. One of the key focuses is Alzheimer's disease — a relatively simple canonical example.
Contents:
- Mathematical Preliminaries
- A Symmetry-Breaking Model
- A Data Rate Theorem Model
- A Mutual Information Model
- A Fragment Size Model
- Extending the Perspective
- Embodiment and Environment
- Chronic Inflammation
- What is to be Done?
- Mathematical Appendix
Readership: Graduate students and researchers interested in biological applications of information theory.
Key Features:
- Significantly extends current thinking on Alzheimer's and related chronic diseases
The monograph applies sophisticated topological symmetry tools to biological applications of information theory, along with a Black–Scholes model invocation of the Data Rate Theorem which links information and control theories. The focus is on statistical mechanics and other models that explore pathological phase transitions — driven by changes in available rates of mitochondrial free energy — in physiological functions, a cutting-edge topic in the study of chronic disease. One of the key focuses is Alzheimer's disease — a relatively simple canonical example.
Contents:
- Mathematical Preliminaries
- A Symmetry-Breaking Model
- A Data Rate Theorem Model
- A Mutual Information Model
- A Fragment Size Model
- Extending the Perspective
- Embodiment and Environment
- Chronic Inflammation
- What is to be Done?
- Mathematical Appendix
Readership: Graduate students and researchers interested in biological applications of information theory.
Key Features:
- Significantly extends current thinking on Alzheimer's and related chronic diseases
