Analytical Molecular Biology illustrates the importance  of simple analytical methods applied to some basic molecular biology  problems, with an emphasis on the importance of biological problems,  rather than the complexity of mathematics.   First, the book examines crucial experimental data for a specific  problem. Mathematical models will then be constructed with explicit  inclusion of biological facts. From such models, predictions can be  deduced and then suggest further experimental studies. A few important  molecular biology problems will be discussed in the order of the  complexity of the mathematical models. Based on such illustrations,  the readers can then develop their own analytical methods to study  their own problems.   This book is for anyone who knows they need to learn how to apply  mathematical models to biology, but doesn't necessarily want to, from  practicing researchers looking to acquire more analytical tools to  advanced students seeking a clear, explanatory text.

Analytical Molecular Biology

Science & Math

Tai Te Wu

Biological Sciences

Kluwer Academic Pub (E)

Cmos Memory Circuits

Engineering & Transportation

Tegze P. Haraszti

Engineering

In 1974 when I published my book, Biological Mechanism of Attachment, not many pages were required to report on the attachment devices of insect cuticles. As in most fields of research, our knowledge on this specific subject has simply exploded. Dr. Stanislav N. Gorb now describes the present day level of our knowledge, to which he has personally contributed so much, and a research team working on biological microtribology has gradually developed, also. With modern methods of measurement it is possible to enter the structure – function relationship much more deeply, even down to a molecular level, which was not possible two and a half decades ago. It is a well known fact that, in biology, the more sophisticated the measuring method, the greater the achievement of biological fundamental research, and its resulting evidence. Our knowledge remains at a certain level until new methods once more permit a forward leap. Biological knowledge develops in the form of a stepped curve rather than linear, as reflected in the studies carried out on the attachment devices of insect cuticles.

Attachment Devices of Insect Cuticle

Stanislav N. Gorb

Compact Ku-Band Transmitter Design for Satellite Communication Applications: From System Analysis to Hardware Implementation

Chang-Ho Lee

Joy Laskar

Gene Avatars: Tje Neo-Darwinian Theory of Evolution

Pierre-Henri Gouyon

Jean-Pierre Henry

Jacques Arnould

Metal Dihydrogen and O-Bond Complexes (Modern Inorganic Chemistry)

Gregory J. Kubas

Chemistry

Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques.  Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.

Methods of Microarray Data Analysis II

Simon M. Lin

This book is devoted to the neuropsychological description of childhood epilepsy, a neurolo- cal condition that constitutes one of the most prevalent forms of chronic and disabling childhood illnesses. Indeed, one child out of 20 experiences one or more seizures before the age of 5, and one in a hundred develops epilepsy as a chronic disorder. Approximately half of these children with epilepsy display academic difficulties and/or behavioral disorders. Moreoever, it is now believed that a sizable proportion of children with learning disability suffer from undiagnosed epilepsy. While a great number of textbooks have been devoted to various medical aspects of chi- hood epilepsy (diagnosis, genetics, etiology, drug and surgical treatment, etc.), there have been no comprehensive accounts of the cognitive consequences of this condition. Advance of medical knowledge has shown that childhood epilepsy should not be considered as a single disorder but encompasses a whole range of different conditions that exhibit specific clinical EEG and outcome characteristics. It is not becoming apparent that these various clinical entities have different cognitive expression that yet need to be specified. The purpose of this book is to provide a complete up-to-date analysis of this multi-faceted pathology.

Neuropsychology of Childhood Epilepsy (Advances in Behavioral Biology 50)

Health, Fitness & Dieting

Isabelle Jambaque

Maryse Lassonde

Olivier Dulac

Diseases & Physical Ailments

<p><p>This truly international volume includes a selection of contributions to the Second Conference of the European Science Education Research Association (Kiel, Sept. 1999). It provides a state-of-the-art examination of science education research in Europe, discusses views and visions of science education research, deals with research on scientific literacy, on students' and teachers' conceptions, on conceptual change, and on instructional media and lab work.</p></p>

Research in Science Education - Past Present and Future

Helmut Dahncke

Helga Behrendt

European Science Education Research Association

Reuse Methodology Manual for System-On-A-Chip Designs

Computers & Technology

Michael Keating

Programming

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