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Scientific and technical challenges for systems biology
Systems biology is an emergent discipline, yet can be rooted back almost a century when pioneering thoughts on system-oriented views were discussed....
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Systems Biology: necessary developments and trends
At the end of this definition of Systems Biology through exampling, we discuss ambitions, goals, and challenges relating to this new discipline. We...
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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...
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Antibody MYH9 and Antibiotic Lidamycin Inhibit the Growth and Proliferation of Lung Cancer Cells and Induce Their Apoptosis
The aim of this study was to investigate the impact of the antibiotic lidamycin (LDM) and the targeted therapy with the antibody Myosin heavy chain 9...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...