Téléchargez le livre : Intelligent Computing in Carcinogenic Disease Detection

Intelligent Computing in Carcinogenic Disease Detection

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Springer


Paru le : 2024-05-16

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Description

This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2.  
Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection.  
In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.
Pages
180 pages
Collection
n.c
Parution
2024-05-16
Marque
Springer
EAN papier
9789819724239
EAN PDF
9789819724246
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
9554 Ko
Prix
168,79 €
EAN EPUB
9789819724246
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
17142 Ko
Prix
168,79 €

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