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Application of omics, AI and blockchain in bioinformatics research

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Application of omics, AI and blockchain in bioinformatics research/ editors, Jeffrey J.-P. Tsai, Ka-Lok Ng.
other author:	Tsai, Jeffrey J.-P.
Published:	Singapore :World Scientific Publishing, : c2020.,
Description:	1 online resource (208 p.) :ill. :
Subject:	Life sciences - Data processing. -
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/11364#t=toc
ISBN:	9789811203589

Application of omics, AI and blockchain in bioinformatics research
Application of omics, AI and blockchain in bioinformatics research[electronic resource] /editors, Jeffrey J.-P. Tsai, Ka-Lok Ng. - 1st ed. - Singapore :World Scientific Publishing,c2020. - 1 online resource (208 p.) :ill. - Advanced series in electrical and computer engineering ;vol. 21. - Advanced series in electrical and computer engineering ;v.15..

Includes bibliographical references and index.

"With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare. Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases. A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, Omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network."--

ISBN: 9789811203589Subjects--Topical Terms:

934039
Life sciences
--Data processing.

LC Class. No.: QH324.2 / .A66 2020

Dewey Class. No.: 610.285

Application of omics, AI and blockchain in bioinformatics research
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245 0 0 $a Application of omics, AI and blockchain in bioinformatics research $h [electronic resource] / $c editors, Jeffrey J.-P. Tsai, Ka-Lok Ng.
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260 $a Singapore : $b World Scientific Publishing, $c c2020.
300 $a 1 online resource (208 p.) : $b ill.
490 1 $a Advanced series in electrical and computer engineering ; $v vol. 21
504 $a Includes bibliographical references and index.
520 $a "With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare. Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases. A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, Omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network."-- $c Publisher's website.
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650 0 $a Biomedical engineering $x Data processing. $3 720368
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650 0 $a Blockchains (Databases) $3 1140752
650 0 $a Artificial intelligence. $3 559380
700 1 $a Tsai, Jeffrey J.-P. $3 563677
700 1 $a Ng, Ka-Lok. $3 1240292
830 0 $a Advanced series in electrical and computer engineering ; $v v.15. $3 1132497
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/11364#t=toc