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Artificial intelligence technologies for computational biology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence technologies for computational biology/ edited by Ranjeet Kumar Rout ... [et al.]
other author:	Rout, Ranjeet Kumar.
Published:	Boca Raton, FL :CRC Press, : 2023.,
Description:	1 online resource.
Subject:	Artificial intelligence - Biological applications. -
Online resource:	https://www.taylorfrancis.com/books/9781003246688
ISBN:	9781003246688

Artificial intelligence technologies for computational biology
Artificial intelligence technologies for computational biology[electronic resource] /edited by Ranjeet Kumar Rout ... [et al.] - 1st ed. - Boca Raton, FL :CRC Press,2023. - 1 online resource.

Includes bibliographical references and index.

"This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. Presents the application of evolutionary computations for fractal visualization of sequence data. Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. Examines the roles of efficient computational techniques in biology"--

ISBN: 9781003246688

LCCN: 2022022590Subjects--Topical Terms:

590657
Artificial intelligence
--Biological applications.

LC Class. No.: QH324.25

Dewey Class. No.: 570.285

Artificial intelligence technologies for computational biology
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010 $a 2022022590
020 $a 9781003246688 $q (electronic bk.)
020 $z 9781032160023 $q (paperback)
020 $z 9781032160009 $q (hardback)
035 $a 22742101
040 $a DLC $b eng $c DLC $d DLC
041 0 $a eng
050 0 0 $a QH324.25
082 0 0 $a 570.285 $2 23
245 0 0 $a Artificial intelligence technologies for computational biology $h [electronic resource] / $c edited by Ranjeet Kumar Rout ... [et al.]
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2023.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a "This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. Presents the application of evolutionary computations for fractal visualization of sequence data. Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. Examines the roles of efficient computational techniques in biology"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Artificial intelligence $x Biological applications. $3 590657
650 0 $a Computational biology $x Data processing. $3 3720433
700 1 $a Rout, Ranjeet Kumar. $3 3720432
856 4 0 $u https://www.taylorfrancis.com/books/9781003246688