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  1. From isolation to integration, a systems biology approach for building the Silicon Cell

    In the last decade, the field now commonly referred to as systems biology has developed rapidly. With the sequencing of whole genomes and the...
    Jacky L. Snoep, Hans V. Westerhoff in Systems Biology
    Chapter
  2. Cancer Classification with Microarray Data Using Support Vector Machines

    Microarrays (Schena et al. 1995) are also called gene chips or DNA chips. On a microarray chip, there are thousands of spots. Each spot contains the...
    Chapter
  3. Random Voronoi Ensembles for Gene Selection in DNA Microarray Data

    Currently, cancer and other complex pathologies are analyzed mainly by morphological classification. In the past few decades there have been dramatic...
    Francesco Masulli, Stefano Rovetta in Bioinformatics Using Computational Intelligence Paradigms
    Chapter
  4. Class Prediction with Microarray Datasets

    Microarray technology is having a significant impact in the biological and medical sciences and class prediction will play an increasingly important...
    Simon Rogers, Richard D. Williams, Colin Campbell in Bioinformatics Using Computational Intelligence Paradigms
    Chapter
  5. Genetic Algorithms Based Hybrid Intelligent Systems

    The oldest branch of Evolutionary Computation, namely GA, is at the same time the used in real-world applications of HIS. Chapter 8 of the book tries...
    Mircea Gh. Negoita, Daniel Neagu, Vasile Palade in Computational Intelligence
    Chapter
  6. New Trends of Develo** Hybrid Intelligent Systems – AIS Hybridization and DNA-Hybridization

    As already mentioned in Chap.1, the use of biologically inspired CI techniques play a crucial role for the hybridisation at any level of HIS features...
    Mircea Gh. Negoita, Daniel Neagu, Vasile Palade in Computational Intelligence
    Chapter
  7. Advanced Targeting Strategies for Murine Retroviral and Adeno-associated Viral Vectors

    Targeted gene delivery involves broadening viral tropism to infect previously nonpermissive cells, replacing viral tropism to infect a target cell...
    Julie H. Yu, David V. Schaffer in Gene Therapy and Gene Delivery Systems
    Chapter
  8. The Artificial Mind System (AMS), Modules, and Their Interactions

    The previous two chapters have been devoted to establishing the novel artificial neural network concept, namely the kernel memory concept, for the...
    Chapter
  9. Nonviral Delivery of Cancer Genetic Vaccines

    The potential use of genetic vaccines to address numerous diseases including cancer is promising, but currently unrealized. Here, we review...
    Steven R. Little, Robert Langer in Gene Therapy and Gene Delivery Systems
    Chapter
  10. On the Classification of Maze Problems

    A maze is a grid-like two-dimensional area of any size, usually rectangular. A maze consists of cells. A cell is an elementary maze item, a formally...
    Anthony J. Bagnall, Zhanna V. Zatuchna in Foundations of Learning Classifier Systems
    Chapter
  11. Genetic Algorithms and Genetic Linkage

    This chapter provides a summary of fundamental materials on genetic algorithms. It presents definitions of genetic algorithm terms and briefly...
    Chapter
  12. Learning Classifier Systems: A Reinforcement Learning Perspective

    Reinforcement learning is defined as the problem of an agent that learns to perform a certain task through trial and error interactions with an...
    Chapter
  13. Maximization of Combustion Efficiency: A Data Mining Approach

    Maximizing combustion efficiency with minimizing emissions is of importance to electric power industry. In this research, the impact of data...
    Chapter
  14. Supporting Deep Learning in an Open-ended Domain

    Self-explanation has been used successfully in teaching Mathematics and Physics to facilitate deep learning. We are interested in investigating...
    Chapter
  15. Basics of Machine Learning by Support Vector Machines

    Here, we talk about the (machine) learning from empirical data (i.e., examples, samples, measurements, records, patterns or observations) by applying...
    Chapter
  16. Epilogue – Towards Develo** A Realistic Sense of Artificial Intelligence

    So far, we have considered how the artificial mind system based upon the holistic model as depicted in Fig. 5.1 (on page 84) works in terms of the...
    Chapter
  17. Memory Modules and the Innate Structure

    As the philosopher Miguel de Umamuno (1864-1936) once said, “We live in memory and memory, and our spiritual life is at bottom simply the effort of...
    Chapter
  18. Production and Formulation of Adenovirus Vectors

    Adenovirus vectors have attracted considerable interest over the past decade, with ongoing clinical development programs for applications ranging...
    Nedim E. Altaras, John G. Aunins, ... Jayanthi J. Wolf in Gene Therapy and Gene Delivery Systems
    Chapter
  19. Molecular Conjugates

    Molecular conjugates are nanometer-sized entities consisting of synthetic materials (lipids, polycations, targeting agents, and so on) and nucleic...
    Jeremy Heidel, Swaroop Mishra, Mark E. Davis in Gene Therapy and Gene Delivery Systems
    Chapter
  20. Population Dynamics of Genetic Algorithms

    The theory of evolutionary algorithms has developed significantly in the last few years.A variety of techniques and perspectives have been brought to...
    Chapter
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