Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Kinetic Logic A Boolean Approach To The Analysis Of Complex Regulatory Systems PDF full book. Access full book title Kinetic Logic A Boolean Approach To The Analysis Of Complex Regulatory Systems.
| Author | : Rene Thomas |
| Publisher | : |
| Total Pages | : 507 |
| Release | : 1979 |
| Genre | : |
| ISBN | : |
| Author | : R. Thomas |
| Publisher | : |
| Total Pages | : 528 |
| Release | : 2014-09-01 |
| Genre | : |
| ISBN | : 9783642493225 |
| Author | : R. Thomas |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 523 |
| Release | : 2013-06-29 |
| Genre | : Mathematics |
| ISBN | : 3642493211 |
The E M B 0 course on "Formal Analysis of Genetic Regulation" A course entitled "Formal analysis of Genetic Regulation" was held at the University of Brussels from 6 to 16 September 1977 under the auspices of EMBO (European Molecular Biology Organization). As indicated by the title of the book (but not explicitly enough by the title of the course), the main emphasis was put on a dynamic analysis of systems using logical methods, that is, methods in which functions and variables take only a limited number of values - typically two. In this respect, this course was complementary to an EMBO course using continuous methods which was held some months later in Israel by Prof. Segel. People from four very different laboratories took an active part in teaching our course in Brussels : Drs Anne LEUSSLER and Philippe VAN HAM, from the Laboratory of Prof. Jean FLORINE (Laboratoire des Systemes logiques et numeriques, Faculte des Sciences appliquees, Universite Libre de Bruxelles). Dr Stuart KAUFFMAN (Dept. of Biochemistry and Biophysics, School of Medicine, Philadelphia). Prof. Gregoire NICOLlS (Service de Biophysique Theorique, Faculte des Sciences, Universite Libre de Bruxelles) and his temporary coworker Dr David RIGNEY (presently at the Center for Statistical Mechanics and Thermodynamics of the University of Texas at Austin, Texas).
| Author | : Debra A. Hope |
| Publisher | : Springer |
| Total Pages | : 200 |
| Release | : 2008-12-11 |
| Genre | : Psychology |
| ISBN | : 9780387095561 |
Debra A. Hope The Nebraska Symposium on Motivation is steeped in history and tradition. Over the years the series editors have striven to maintain the highest standards of a- demic excellence and to highlight some of the most important trends in psychology. Perusing the chapter titles in the first 53 volumes shows the shifting emphasis as the science of psychology developed in the latter half of the twentieth century. All of the most important topics are there — drive theory, social learning, the cognitive revolution, developing perspectives on understanding individual differences and the role of culture, and the increasing role of neuroscience. The key figures are there as well — Harry Harlow, Kenneth Spence, Raymond Cattell, George Kelly, Albert Bandura, Carl Rogers, Carroll Izard, Walter Mischel, Sandra Bem, Sandra Spence, Herbert Simon, David Barlow, and many others. In late 2004, I met with a group of interested graduate students, and together we developed a proposal to join this long and proud tradition with a volume on sexual orientation. Our motivation stemmed, in part, from the events around us. The same-sex m- riage debate was covered extensively in the media, reflecting a rapid and important discussion about sexual orientation that we were having (and are still having) as a society. Psychology and related fields have much to offer on many of the issues raised in this debate.
| Author | : H. W. Hethcote |
| Publisher | : Springer |
| Total Pages | : 116 |
| Release | : 2014-03-11 |
| Genre | : Mathematics |
| ISBN | : 366207544X |
| Author | : Andrej Yu. Yakovlev |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 224 |
| Release | : 2013-03-08 |
| Genre | : Mathematics |
| ISBN | : 3642487025 |
A mathematician who has taken the romantic decision to devote himself to biology will doubtlessly look upon cell kinetics as the most simple and natural field of application for his knowledge and skills. Indeed, the thesaurus he is to master is not so complicated as, say, in molecular biology, the structural elements of the system, i. e. ceils, have been segregated by Nature itself, simple considerations of balance may be used for deducing basic equations, and numerous analogies in other areas of science also superficial add to one"s confidence. Generally speaking, this number of impression is correct, as evidenced by the very great theoretical studies on population kinetics, unmatched in other branches of mathematical biology. This, however, does not mean that mathematical theory of cell systems has traversed in its development a pathway free of difficulties or errors. The seeming ease of formalizing the phenomena of cell kinetics not infrequently led to the appearance of mathematical models lacking in adequacy or effectiveness from the viewpoint of applications. As in any other domain of science, mathematical theory of cell systems has its own intrinsic logic of development which, however, depends in large measure on the progress in experimental biology. Thus, during a fairly long period running into decades activities in that sphere were centered on devising its own specific approaches necessitated by new objectives in the experimental in vivo and in vitro investigation of cell population kinetics in different tissues.
| Author | : Krastan B. Blagoev |
| Publisher | : Springer Nature |
| Total Pages | : 265 |
| Release | : 2022-09-08 |
| Genre | : Science |
| ISBN | : 3030986063 |
This is a graduate-level introduction to quantitative concepts and methods in the science of living systems. It relies on a systems approach for understanding the physical principles operating in biology. Physical phenomena are treated at the appropriate spatio-temporal scale and phenomenological equations are used in order to reflect the system of interest. Biological details enter to the degree necessary for understanding specific processes, but in many cases the approach is not reductionist. This is in line with the approach taken by physics to many other complex systems. The book bridges the gap between graduate students’ general physics courses and research papers published in professional journals. It gives students the foundations needed for independent research in biological physics and for working in collaborations aimed at quantitative biology and biomedical research. Also included are modern mathematical and theoretical physics methods, giving the student a broad knowledge of tools that can shed light on the sophisticated mechanisms brought forth by evolution in biological systems. The content covers many aspects that have been the focus of active research over the past twenty years, reflecting the authors' experience as leading researchers and teachers in this field.
| Author | : C S Bertuglia |
| Publisher | : Routledge |
| Total Pages | : 431 |
| Release | : 2013-10-18 |
| Genre | : Architecture |
| ISBN | : 1134695268 |
This edited collection, first published in 1987, provides a comparative analysis of different approaches to urban modelling, and lays the foundations for the possibility of integration and a more unified field. The first part contextualises the development of the field of urban systems modelling, focusing on the variety of approaches and possible implications of this on the future of research and methodology. Next, the editors consider economic and ‘non-economic’ approaches, followed by an analysis of spatial-interaction-based approaches. Providing an overview to the field and research literature, the overarching argument is that there should be an integrated methodological approach to urban system modelling.
| Author | : Donald House |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 141 |
| Release | : 2013-03-13 |
| Genre | : Medical |
| ISBN | : 1468463918 |
Depth Perception in Frogs and Toads provides a comprehensive exploration of the phenomenon of depth perception in frogs and toads, as seen from a neuro-computational point of view. Perhaps the most important feature of the book is the development and presentation of two neurally realizable depth perception algorithms that utilize both monocular and binocular depth cues in a cooperative fashion. One of these algorithms is specialized for computation of depth maps for navigation, and the other for the selection and localization of a single prey for prey catching. The book is also unique in that it thoroughly reviews the known neuroanatomical, neurophysiological and behavioral data, and then synthesizes, organizes and interprets that information to explain a complex sensory-motor task. The book will be of special interest to that segment of the neural computing community interested in understanding natural neurocomputational structures, particularly to those working in perception and sensory-motor coordination. It will also be of interest to neuroscientists interested in exploring the complex interactions between the neural substrates that underly perception and behavior.
| Author | : Henry Horng-Shing Lu |
| Publisher | : Springer Nature |
| Total Pages | : 406 |
| Release | : 2022-12-08 |
| Genre | : Science |
| ISBN | : 3662659026 |
Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.
