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＜E-Book＞
Information Retrieval in Bioinformatics : A Practical Approach / edited by Soumi Dutta, Saikat Gochhait

Edition	1st ed. 2022.
Publisher	(Singapore : Springer Nature Singapore : Imprint: Palgrave Macmillan)
Year	2022
Language	English
Size	XIII, 157 p. 9 illus., 5 illus. in color : online resource
Authors	Dutta, Soumi editor Gochhait, Saikat editor SpringerLink (Online service)
Subjects	LCSH:Data mining LCSH:Information storage and retrieval systems LCSH:Quantitative research LCSH:Database management LCSH:Artificial intelligence FREE:Data Mining and Knowledge Discovery FREE:Information Storage and Retrieval FREE:Data Analysis and Big Data FREE:Database Management FREE:Artificial Intelligence
Notes	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. 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 HTTP:URL=https://doi.org/10.1007/978-981-19-6506-7

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