國立高雄大學圖資館 |

Language: English

Back

Machine learning and systems biology in genomics and health

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and systems biology in genomics and healthedited by Shailza Singh.
other author:	Singh, Shailza.
Published:	Singapore :Springer Singapore :2022.
Description:	vii, 236 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	GenomicsData processing.
Online resource:	https://doi.org/10.1007/978-981-16-5993-5
ISBN:	9789811659935$q(electronic bk.)

Machine learning and systems biology in genomics and health
Machine learning and systems biology in genomics and health[electronic resource] /edited by Shailza Singh. - Singapore :Springer Singapore :2022. - vii, 236 p. :ill., digital ;24 cm.

Chapter 1: Construction of feedforward multilayer perceptron model for diagnosing leishmaniasis using transcriptome datasets and cognitive computing -- Chapter2- Big data in drug discovery -- Chapter3 - An overview of databases and tools for lncRNA genomics advancing precision medicine -- Chapter 4-Machine Learning in Genomics -- Chapter 5-How Machine Learning has revolutionized the field of Cancer Informatics? -- Chapter 6- Connecting the dots: Using machine learning to Forge Gene Regulatory Networks from large biological datasets -- Chapter 7-Identification of novel Non-coding RNAs in Plants by Big data analysis -- Chapter 8-Artificial Intelligence in Biomedical Image Processing -- Chapter 9- Artificial Intelligence and its Application in Cardiovascular Disease Management.

This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.

ISBN: 9789811659935$q(electronic bk.)

Standard No.: 10.1007/978-981-16-5993-5doiSubjects--Topical Terms:

196486
Genomics
--Data processing.

LC Class. No.: QH447 / .M33 2022

Dewey Class. No.: 572.86028

Machine learning and systems biology in genomics and health
LDR:02996nmm a2200325 a 4500 001 618784
003 DE-He213
005 20220204183134.0
006 m d
007 cr nn 008maaau
008 221103s2022 si s 0 eng d
020 $a 9789811659935$q(electronic bk.)
020 $a 9789811659928$q(paper)
024 7 $a 10.1007/978-981-16-5993-5 $2 doi
035 $a 978-981-16-5993-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QH447 $b .M33 2022
072 7 $a PSAK $2 bicssc
072 7 $a SCI029000 $2 bisacsh
072 7 $a PSAK $2 thema
082 0 4 $a 572.86028 $2 23
090 $a QH447 $b .M149 2022
245 0 0 $a Machine learning and systems biology in genomics and health $h [electronic resource] / $c edited by Shailza Singh.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a vii, 236 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Construction of feedforward multilayer perceptron model for diagnosing leishmaniasis using transcriptome datasets and cognitive computing -- Chapter2- Big data in drug discovery -- Chapter3 - An overview of databases and tools for lncRNA genomics advancing precision medicine -- Chapter 4-Machine Learning in Genomics -- Chapter 5-How Machine Learning has revolutionized the field of Cancer Informatics? -- Chapter 6- Connecting the dots: Using machine learning to Forge Gene Regulatory Networks from large biological datasets -- Chapter 7-Identification of novel Non-coding RNAs in Plants by Big data analysis -- Chapter 8-Artificial Intelligence in Biomedical Image Processing -- Chapter 9- Artificial Intelligence and its Application in Cardiovascular Disease Management.
520 $a This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.
650 0 $a Genomics $x Data processing. $3 196486
650 0 $a Machine learning. $3 188639
650 0 $a Systems biology. $3 282663
650 1 4 $a Genomics. $3 209057
650 2 4 $a Molecular Genetics. $3 918737
650 2 4 $a Computational and Systems Biology. $3 911810
650 2 4 $a Genomic Analysis. $3 918738
650 2 4 $a Gene Expression Analysis. $3 918739
650 2 4 $a Cancer Genetics and Genomics. $3 918740
700 1 $a Singh, Shailza. $3 759775
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-16-5993-5
950 $a Biomedical and Life Sciences (SpringerNature-11642)