Epistemology of the Cell
A Systems Perspective on Biological Knowledge
Published on 19. August 2011
Book
Hardback
216 pages
978-1-118-02779-0 (ISBN)
Description
This text examines the place of biological knowledge within the framework of science as a whole and addresses issues focused on the specific nature of biology, how biology is studied, and how biological knowledge is translated into applications, in particular, with regard to medicine. The book opens with a general discussion of the development of human understanding of scientific knowledge and method. The book gets specific focusing on knowledge of the cell, the basic unit of life. The salient point is the analogy between a systems-based analysis of factory regulation and the regulation of the cell. The book also includes information on translational science.
Reviews / Votes
"The authors of this interesting and opinionated book state that the driving force behind the work was Einstein's comment that "science without epistemology is-insofar as it is thinkable at all-primitive and muddled . . . The last chapter of the book is an excellent exposition of the need for a systems-level model-based approach in biology and medicine." (Computing Reviews, 19 February 2013)More details
Product info
gebunden
Series
Edition
1. Auflage
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Illustrations
Charts: 28 B&W, 0 Color
Dimensions
Height: 24.2 cm
Width: 16 cm
Thickness: 1.6 cm
Weight
498 gr
ISBN-13
978-1-118-02779-0 (9781118027790)
Schweitzer Classification
Persons
EDWARD R. DOUGHERTY, PhD, is Director of the Genomic Signal Processing Laboratory at Texas A&M University, where he holds the Robert M. Kennedy '26 Chair and is Professor in the Department of Electrical and Computer Engineering. He is also co-Director of the Computational Biology Division at the Translational Genomics Research Institute as well as Adjunct Professor in the Department of Bioinformatics and Computational Biology, M. D. Anderson Cancer Center at the University of Texas. Dr. Dougherty has published more than 300 peer-reviewed journal articles and book chapters.
MICHAEL L. BITTNER, PhD, is co-Director and Senior Investigator at the Computational Biology Division at the Translational Genomics Research Institute. Previously, he was associate investigator in the Cancer Genetics Branch of the National Human Genome Research Institute at the National Institutes of Health. Dr. Bittner holds a dozen patents and has published more than 100 articles.
MICHAEL L. BITTNER, PhD, is co-Director and Senior Investigator at the Computational Biology Division at the Translational Genomics Research Institute. Previously, he was associate investigator in the Cancer Genetics Branch of the National Human Genome Research Institute at the National Institutes of Health. Dr. Bittner holds a dozen patents and has published more than 100 articles.
Content
Preface ix
Acknowledgments xi
1. Science and Knowledge 1
2. Causality and the Three Pillars of Aristotelian Science 11
3. Scientific Knowledge 35
4. Cells and Factories 59
5. Translational Science 85
6. Stochastic Validation: Classifi ers 97
7. Stochastic Validation: Networks 129
8. Sola Fides 147
9. Model-based Experimentation in Biology 169
References 189
Index 197
IEEE Press Series on Biomedical Engineering 203
Acknowledgments xi
1. Science and Knowledge 1
2. Causality and the Three Pillars of Aristotelian Science 11
3. Scientific Knowledge 35
4. Cells and Factories 59
5. Translational Science 85
6. Stochastic Validation: Classifi ers 97
7. Stochastic Validation: Networks 129
8. Sola Fides 147
9. Model-based Experimentation in Biology 169
References 189
Index 197
IEEE Press Series on Biomedical Engineering 203