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Information retrieval in bioinformat...

Dutta, Soumi.

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Information retrieval in bioinformatics = a practical approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Information retrieval in bioinformatics/ edited by Soumi Dutta, Saikat Gochhait.
其他題名:	a practical approach /
其他作者:	Dutta, Soumi.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xiii, 157 p. :ill. (some color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Bioinformatics. -
電子資源:	https://doi.org/10.1007/978-981-19-6506-7
ISBN:	9789811965067

Information retrieval in bioinformatics = a practical approach /
Information retrieval in bioinformaticsa practical approach /[electronic resource] :edited by Soumi Dutta, Saikat Gochhait. - Singapore :Springer Nature Singapore :2022. - xiii, 157 p. :ill. (some color), digital ;24 cm.

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.

ISBN: 9789811965067

Standard No.: 10.1007/978-981-19-6506-7doiSubjects--Topical Terms:

553671
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Information retrieval in bioinformatics = a practical approach /
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505 0 $a 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.
520 $a 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.
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