Information Retrieval in Bioinformatics: A Practical Approach

The book presents the results of studies on Bioinformatics and Information Retrieval, providing a practical course in computational data analysis for students and researchers with no previous exposure to computer programming. It describes the theoretical basis for statistical analysis techniques and presents walk-throughs of data analysis tasks using different tools to help in healthcare management decisions.

Format: Hardback
Length: 157 pages
Publication date: 02 December 2022
Publisher: Springer Verlag, Singapore

The book presents comprehensive and in-depth research findings on a diverse range of topics within the fields of Bioinformatics and Information Retrieval. These topics include predictive models for transcription initiation and termination, protein recognition codes, protein structure prediction, feature selection for disease prediction, and information retrieval from medical imaging.

Information Retrieval emerges as a contemporary solution to address the complex challenges posed by the evaluation of composite systems in the face of emerging threats. This book serves as a practical and accessible guide for students and researchers who lack prior experience in computer programming. It delves into the theoretical foundations of statistical analysis techniques, providing a solid foundation for understanding the methods employed throughout the textbook.

Furthermore, the book offers detailed walkthroughs of data analysis tasks using various tools, enabling readers to apply these techniques in healthcare management and decision-making processes. By presenting a comprehensive and interdisciplinary approach, this book contributes to the advancement of knowledge and understanding in the fields of Bioinformatics and Information Retrieval, making it an invaluable resource for scholars and practitioners alike.

Weight: 360g
Dimension: 210 x 148 (mm)
ISBN-13: 9789811965050
Edition number: 1st ed. 2022