Information Retrieval in Bioinformatics A Practical Approach

The book presents the results of studies on selected problems (such as predictive model of transcription initiation and termination, protein recognition codes, protein structure prediction, feature selection for disease prediction, information retrieval from medical imaging) of Bioinformatics and Information Retrieval. Information Retrieval is one of the contemporary answers to new challenges in threat evaluation of composite systems. This book provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming. It describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles. It presents walk-throughs of data analysis tasks using different tools to help in taking decisions in healthcare management.

Chapter 1. Bioinformatics Overviews.- chapter 2. Artificial Intelligence in Biological Sciences: A Brief Overview.- chapter 3. A Review of Recent Advances in Translational Bioinformatics and Systems Biomedicine.- chapter 4. Application of Bioinformatics in Agricultural Pest Management: An Overview of the Evolving Technologies.- Chapter 5. Application of Bioinformatics in Healthcare and Medicine.- Chapter 6. Information Retrieval in Bioinformatics: State of the Art and Challenges.-   Chapter 7. hybrid support vector machine with gray wolf optimization for classifying multivariate data.- Chapter 8. Bioinformatics and Its Application in Computing Biological Data.