Learn IT - Books tags genetic

Analysis and Control of Boolean Networks: A Semi-tensor Product Approach

Springer, 2010

Analysis and Control of Boolean Networks presents a systematic new approach to the investigation of Boolean control networks. The fundamental tool in this approach is a novel matrix product called the semi-tensor product (STP). Using the STP, a logical function can be expressed as a conventional discrete-time linear system. In the light of...

Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)

CRC Press, 2010

Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an...

Intracranial Tumors: Diagnosis and Treatment

CRC Press, 2001

Brain tumors have a longstanding reputation for being intractable to therapy, and with evidence suggesting that the incidence of some brain tumors is increasing, this has become the most feared cancer. However, with improvements in imaging technologies, radiation therapy and chemotherapy , as well as a greater knowledge of the genetic causes...

Cell Culture Technology for Pharmaceutical and Cell-Based Therapies (Biotechnology and Bioprocessing)

CRC Press, 2005

Edited by two of the most distinguished pioneers in genetic manipulation and bioprocess technology, this bestselling reference presents a comprehensive overview of current cell culture technology used in the pharmaceutical industry. Contributions from several leading researchers showcase the importance of gene discovery and genomic technology...

Pulmonary Manifestations of Primary Immunodeficiency Diseases

Springer, 2019

This book provides a broad overview of the respiratory manifestations associated with Primary Immune deficiencies (PID) congenital genetic defects such as infections, chronic inflammation, autoimmunity, lymphoproliferation, allergic manifestations and rare forms of cancer.

Since the most common site of involvement in PID is...

Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)

Springer, 2005

Nowadays data accumulate at an alarming speed in various storage devices,
and so does valuable information. However, it is difficult to understand information
hidden in data without the aid of data analysis techniques, which
has provoked extensive interest in developing a field separate from machine
learning. This new field is...

Calcium Signalling in Cancer

CRC Press, 2000

Calcium signalling occupies a preeminent position in the signal transduction system of the cell by virtue of its participation in a wide range of physiological functions together with the biological events associated with genetic expression, cell proliferation and apoptosis, as well as cell differentiation and morphogenesis. It is an...

Computational Intelligence: Engineering of Hybrid Systems

Springer, 2005

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms –...

Introduction to Genetic Algorithms

Springer, 2007

The origin of evolutionary algorithmswas an attempt tomimic some of the processes taking place in natural evolution. Although the details of biological evolution are not completely understood (even nowadays), there exist some points supported by strong experimental evidence:

• Evolution is a process operating over chromosomes...

Developmental Hematopoiesis: Methods and Protocols (Methods in Molecular Medicine)

Humana Press, 2004

During the past few decades, technical and conceptual breakthroughs have led to a virtual revolution in developmental biology. In part through cross-species compa- sons and multidisciplinary approaches (combining, for example, classical embry- ogy, genetics, molecular biology, and systems biology), major questions have often been redefined...

Advances in Evolutionary Algorithms: Theory, Design and Practice

Springer, 2006

The goal of this book is to develop efficient optimization algorithms to solve diverse real-world problems of graded difficulty. Genetic and evolutionary mechanisms have been deployed for reaching the goal.

This book has made five significant contributions in the realm of genetic and evolutionary computation (GEC).

Practical...

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems

Springer, 2005

We describe in this book, new methods for intelligent pattern recognition using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for pattern recognition. Hybrid intelligent systems...

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