Computational Intelligence for Genomics Data

Bibliographic Details
Title:	Computational Intelligence for Genomics Data
Description:	Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers. - Provides comparative analysis of machine learning and deep learning methods in the analysis of genomic data, discussing major design challenges, best practices, pitfalls, and research potential - Explores machine and deep learning techniques applied to dimensionality reduction, feature extraction, data selection, and their application in genomics - Presents case studies of various diseases based on gene microarray expression data, including cancer, liver disorders, neuromuscular disorders, and neurodegenerative disorders
Authors:	Babita Pandey, Valentina Emilia Balas, Suman Lata Tripathi, Devendra Kumar Pandey, Mufti Mahmud
Resource Type:	eBook.
Subjects:	Computational biology, Genomics--Data processing, Genomics, Computational intelligence
Categories:	COMPUTERS / Programming / Algorithms, COMPUTERS / Data Science / General
Database:	eBook Index

FullText	Text: Availability: 0
Header	DbId: edsebk DbLabel: eBook Index An: 3988510 RelevancyScore: 981 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 981.043701171875
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Items	– Name: Title Label: Title Group: Ti Data: Computational Intelligence for Genomics Data – Name: Abstract Label: Description Group: Ab Data: Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers. - Provides comparative analysis of machine learning and deep learning methods in the analysis of genomic data, discussing major design challenges, best practices, pitfalls, and research potential - Explores machine and deep learning techniques applied to dimensionality reduction, feature extraction, data selection, and their application in genomics - Presents case studies of various diseases based on gene microarray expression data, including cancer, liver disorders, neuromuscular disorders, and neurodegenerative disorders – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Babita+Pandey%22">Babita Pandey</searchLink><br /><searchLink fieldCode="AR" term="%22Valentina+Emilia+Balas%22">Valentina Emilia Balas</searchLink><br /><searchLink fieldCode="AR" term="%22Suman+Lata+Tripathi%22">Suman Lata Tripathi</searchLink><br /><searchLink fieldCode="AR" term="%22Devendra+Kumar+Pandey%22">Devendra Kumar Pandey</searchLink><br /><searchLink fieldCode="AR" term="%22Mufti+Mahmud%22">Mufti Mahmud</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computational+biology%22">Computational biology</searchLink><br /><searchLink fieldCode="DE" term="%22Genomics--Data+processing%22">Genomics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Genomics%22">Genomics</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+intelligence%22">Computational intelligence</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Programming+%2F+Algorithms%22">COMPUTERS / Programming / Algorithms</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+General%22">COMPUTERS / Data Science / General</searchLink>
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RecordInfo	BibRecord: BibEntity: Classifications: – Code: 572.860285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Computational biology Type: general – SubjectFull: Genomics--Data processing Type: general – SubjectFull: Genomics Type: general – SubjectFull: Computational intelligence Type: general Titles: – TitleFull: Computational Intelligence for Genomics Data Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Babita Pandey – PersonEntity: Name: NameFull: Valentina Emilia Balas – PersonEntity: Name: NameFull: Suman Lata Tripathi – PersonEntity: Name: NameFull: Devendra Kumar Pandey – PersonEntity: Name: NameFull: Mufti Mahmud – PersonEntity: Name: NameFull: Babita Pandey – PersonEntity: Name: NameFull: Valentina Emilia Balas – PersonEntity: Name: NameFull: Suman Lata Tripathi – PersonEntity: Name: NameFull: Devendra Kumar Pandey – PersonEntity: Name: NameFull: Mufti Mahmud IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 – D: 25 M: 03 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9780443300806 – Type: isbn-electronic Value: 9780443300813 Titles: – TitleFull: Computational Intelligence for Genomics Data Type: main
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